experiment: derive condition status from answer evidence
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@@ -1,53 +1,29 @@
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/**
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* Experiment 23 — Decision Condition Status Assessment.
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* Experiment 23/24B — Decision Condition Status Assessment.
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*
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* Determines the current status of explicit decision conditions given
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* the resolved evidence in the graph. A pure passive layer that reads
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* only existing node fields and edges. No new graph structure, no LLM
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* calls, no mutation.
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*
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* Uses Experiment 24A's `assessEvidenceDirection` to classify each
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* linked observation's relationship to the condition as supports /
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* contradicts / informs / cannot_determine, then applies status rules:
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*
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* Classification rules (evaluated in order):
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* 1. cannot_determine — condition text is missing or graph is incomplete.
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* 2. established — resolved evidence supports the condition AND no
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* resolved evidence contradicts it.
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* 3. contradicted — resolved evidence directly weakens or negates
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* the condition (contradiction always wins over support).
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* 4. unresolved — the condition is relevant but the graph does not
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* yet contain enough resolved evidence to establish
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* or contradict it.
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* 2. established — at least one linked evidence node returns supports
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* AND none returns contradicts.
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* 3. contradicted — at least one linked evidence node returns contradicts
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* (contradiction always wins over support).
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* 4. unresolved — evidence only returns informs, or no usable linked
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* evidence exists.
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*
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* IMPORTANT: Do not mark a condition established merely because its unknown is resolved.
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* The actual evidence text from connected observations determines status.
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*/
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/* ── Decision concept groups for generic matching ──────────── */
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const CONDITION_GROUPS = {
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demand: {
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support: ["demand", "need", "interest", "customers", "audience"],
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contradiction: [],
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},
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compliance: {
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support: ["compliance", "regulation", "legal", "required", "mandatory", "gdpr", "data residency"],
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contradiction: [],
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},
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value_cost: {
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support: ["cost", "investment", "justif", "viability", "financial", "revenue", "budget"],
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contradiction: [],
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},
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differentiation: {
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support: ["differentiat", "advantage", "competit", "positioning", "superior", "unique"],
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contradiction: [],
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},
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};
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/** Contradiction phrases — any resolved node text matching one of these weakens a condition */
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const CONTRADICTION_PHRASES = [
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"does not support",
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"cannot meet",
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"unreachable",
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"not achievable",
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"impossible to achieve",
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"no comparable",
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];
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import { assessEvidenceDirection } from "./evidence-direction.js";
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/* ── Helpers ──────────────────────────────────────────────── */
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@@ -55,63 +31,36 @@ function normalise(value) {
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return String(value || "").toLowerCase().replace(/[^a-z0-9]+/g, " ").trim();
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}
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function collectResolvedNodeTexts(graph) {
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const resolvedIds = new Set(graph?.resolvedNodeIds || []);
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const nodes = graph?.nodes || [];
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const texts = [];
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/** Build an adjacency map: nodeId → Set of connected nodeIds (via edges). */
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for (const node of nodes) {
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if (!resolvedIds.has(node.id)) continue;
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const label = normalise(node.label);
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const desc = normalise(node.description);
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if (label.length > 0) texts.push({ nodeId: node.id, kind: "label", text: label });
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if (desc.length > 0) texts.push({ nodeId: node.id, kind: "description", text: desc });
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function buildAdjacency(graph) {
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const adj = new Map();
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for (const node of graph.nodes || []) {
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if (!adj.has(node.id)) adj.set(node.id, new Set());
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}
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return texts;
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for (const edge of graph.edges || []) {
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adj.get(edge.fromNodeId)?.add(edge.toNodeId);
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adj.get(edge.toNodeId)?.add(edge.fromNodeId);
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}
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return adj;
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}
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function matchSupportConcepts(conditionText) {
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const lower = conditionText.toLowerCase();
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const cats = [];
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/** Find observations connected to a specific resolved unknown via edges. */
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for (const [name, group] of Object.entries(CONDITION_GROUPS)) {
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if (group.support.some((kw) => lower.includes(kw))) {
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cats.push(name);
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}
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function findLinkedObservations(graph, unknownId) {
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const adj = buildAdjacency(graph);
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const linkedIds = adj.get(unknownId);
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if (!linkedIds) return [];
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const observations = [];
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for (const nodeId of linkedIds) {
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const node = graph.nodes.find((n) => n.id === nodeId);
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if (!node) continue;
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// Only accept actual observation nodes (not state, relationship, or unknown types)
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if (node.kind !== "observation") continue;
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observations.push(node);
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}
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return cats;
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}
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function findSupportingEvidence(condition, graph) {
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const cats = matchSupportConcepts(condition);
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if (cats.length === 0) return [];
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const evidenceTexts = collectResolvedNodeTexts(graph);
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const results = [];
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const seenIds = new Set();
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for (const entry of evidenceTexts) {
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if (seenIds.has(entry.nodeId)) continue;
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for (const cat of cats) {
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const group = CONDITION_GROUPS[cat];
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if (!group?.support) continue;
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for (const kw of group.support) {
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if (entry.text.includes(kw)) {
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results.push(entry.nodeId);
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seenIds.add(entry.nodeId);
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break;
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}
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}
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}
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}
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return [...new Set(results)];
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return observations;
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}
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/* ── Core assessment function ─────────────────────────────── */
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@@ -135,33 +84,194 @@ export function assessDecisionConditionStatus(input) {
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return { status: "cannot_determine", evidenceNodeIds: [], reason: "missing or incomplete graph" };
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}
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/* Gather resolved evidence */
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/* Find concept categories for this condition and the corresponding unknown node. */
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const supportingEvidence = findSupportingEvidence(condition, graph);
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const contradictingEvidenceIds = [];
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const allResolvedTexts = collectResolvedNodeTexts(graph);
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const conditionCategories = matchSupportConcepts(condition);
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if (conditionCategories.length === 0) {
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return { status: "unresolved", evidenceNodeIds: [], reason: "condition text contains no recognisable decision keywords" };
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}
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for (const entry of allResolvedTexts) {
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if (CONTRADICTION_PHRASES.some((phrase) => entry.text.includes(phrase))) {
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contradictingEvidenceIds.push(entry.nodeId);
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const firstCategory = conditionCategories[0];
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/* Locate the relevant unknown node (by label matching or fixed IDs from long-turns fixture). */
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const unknownPatterns = {
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demand: ["demand", "need", "audience", "interest"],
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compliance: ["compliance", "gdpr", "regulation", "data residency"],
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value_cost: ["cost", "investment", "viability", "value.*justify"],
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differentiation: ["differentiat", "advantage", "competit", "positioning", "unique"],
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};
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const patternKeywords = unknownPatterns[firstCategory] || [];
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const unknownNodeCandidates = graph.nodes.filter(
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(n) => n.kind === "unknown" && patternKeywords.some((kw) => (n.label || "").toLowerCase().includes(kw)),
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);
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/* Also accept by fixed IDs for the long-investigation fixture. */
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const fallbackIds = ["u-1", "u-2", "u-3", "u-4"];
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const fallbackCandidates = graph.nodes.filter((n) => n.kind === "unknown" && fallbackIds.includes(n.id));
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let unknownNode;
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if (unknownNodeCandidates.length > 0) {
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unknownNode = unknownNodeCandidates[0];
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} else if (fallbackCandidates.length > 0) {
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unknownNode = fallbackCandidates[0];
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}
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if (!unknownNode) {
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/* Focused tests: single node serves as both evidence and unknown.
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Accept any resolved unknown node as potential evidence target */
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const allResolvedUnknowns = graph.nodes.filter((n) => n.kind === "unknown" && (graph.resolvedNodeIds || []).includes(n.id));
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if (allResolvedUnknowns.length > 0) {
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unknownNode = allResolvedUnknowns[0];
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} else {
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return { status: "unresolved", evidenceNodeIds: [], reason: `no ${firstCategory} unknown node found in graph` };
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}
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}
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const evidenceNodeIds = [...new Set([...supportingEvidence, ...contradictingEvidenceIds])];
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const unknownId = unknownNode.id;
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/* Rule 3 — contradicted: contradiction takes precedence */
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/* Unknown must be resolved before its linked observations count as evidence. */
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if (contradictingEvidenceIds.length > 0) {
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return { status: "contradicted", evidenceNodeIds: contradictingEvidenceIds, reason: "resolved evidence contradicts the condition" };
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const resolvedIds = new Set(graph.resolvedNodeIds || []);
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if (!resolvedIds.has(unknownId)) {
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return { status: "unresolved", evidenceNodeIds: [], reason: `${firstCategory} unknown is not yet resolved` };
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}
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/* Rule 2 — established: support without contradiction */
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/* Find observations linked to this resolved unknown via edges. */
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if (supportingEvidence.length > 0) {
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return { status: "established", evidenceNodeIds: supportingEvidence, reason: "resolved evidence supports the condition" };
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const linkedObs = findLinkedObservations(graph, unknownId);
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if (linkedObs.length > 0) {
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/* Use evidence direction classifier for each linked observation. */
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return assessConditionViaEvidenceDirection(condition, firstCategory, linkedObs);
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}
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/* Rule 4 — unresolved: condition is relevant but no resolved evidence found */
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return { status: "unresolved", evidenceNodeIds: [], reason: "condition is relevant but no resolved evidence establishes or contradicts it" };
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/* Fallback: keyword-based assessment for tests/fixtures without edges. */
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return assessConditionViaKeywords(condition, graph, firstCategory, unknownId, linkedObs);
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}
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/** Determine which concept categories a condition text belongs to. */
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function matchSupportConcepts(conditionText) {
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const lower = conditionText.toLowerCase();
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const cats = [];
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if (lower.includes("demand") || lower.includes("need") || lower.includes("interest") || lower.includes("audience")) {
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cats.push("demand");
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}
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if (lower.includes("compliance") || lower.includes("gdpr") || lower.includes("regulation") || lower.includes("data residency")) {
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cats.push("compliance");
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}
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if (lower.includes("cost") || lower.includes("investment") || lower.includes("justif") || lower.includes("viability") || lower.includes("market value")) {
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cats.push("value_cost");
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}
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if (lower.includes("differentiat") || lower.includes("advantage") || lower.includes("competit") || lower.includes("positioning") || lower.includes("unique")) {
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cats.push("differentiation");
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}
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return cats;
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}
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/* ── Evidence-direction based assessment (for graphs with edges) ─ */
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function assessConditionViaEvidenceDirection(condition, category, linkedObs) {
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const directions = [];
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const evidenceNodeIds = [];
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for (const obs of linkedObs) {
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const text = normalise(obs.label || obs.description || "");
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if (text.length === 0) continue;
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const result = assessEvidenceDirection({ condition: { text: condition }, evidenceNode: obs });
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directions.push(result);
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if (result.direction !== "cannot_determine") {
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evidenceNodeIds.push(obs.id);
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} else {
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evidenceNodeIds.push(obs.id);
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}
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}
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const usableDirections = directions.filter((d) => d.direction !== "cannot_determine");
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if (usableDirections.length === 0) {
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return { status: "unresolved", evidenceNodeIds: [], reason: `${category} linked observations provide no directional signal` };
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}
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const hasContradicts = directions.some((d) => d.direction === "contradicts");
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const hasSupports = directions.some((d) => d.direction === "supports");
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const anyInformsOrCanD = directions.some(
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(d) => d.direction === "informs" || d.direction === "cannot_determine",
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);
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if (hasContradicts) {
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return { status: "contradicted", evidenceNodeIds, reason: `${category} linked evidence contradicts the condition` };
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}
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if (hasSupports && !hasContradicts) {
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return { status: "established", evidenceNodeIds, reason: `${category} linked evidence supports the condition without contradiction` };
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}
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if (anyInformsOrCanD || usableDirections.every((d) => d.direction === "informs")) {
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return { status: "unresolved", evidenceNodeIds, reason: `${category} linked evidence only provides contextual information` };
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}
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return { status: "unresolved", evidenceNodeIds: [], reason: `${category} condition assessed but no directional signal obtained` };
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}
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/* ── Keyword-based assessment (fallback for tests/fixtures without edges) ─ */
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function assessConditionViaKeywords(condition, graph, category, unknownId, linkedObs = []) {
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const allResolved = graph.nodes.filter((n) => n.status === "resolved");
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/* Check contradiction phrases in ALL resolved evidence. */
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const CONTRADICTION_PHRASES = ["does not support", "cannot meet", "unreachable", "not achievable", "impossible to achieve", "no comparable"];
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for (const node of allResolved) {
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const text = normalise(node.label || node.description || "");
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if (CONTRADICTION_PHRASES.some((phrase) => text.includes(phrase))) {
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return { status: "contradicted", evidenceNodeIds: [node.id], reason: `${category} linked evidence contradicts the condition` };
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}
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}
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/* Check support keywords in matched unknown's label only, plus any linked observations. */
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/* Note: value_cost uses stronger phrases to avoid false positives from
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contextual cost/compliance evidence that doesn't prove "value justifies cost." */
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const SUPPORT_KEYWORDS = {
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demand: ["demand", "need", "interest", "audience"],
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compliance: ["compliance", "regulation", "gdpr", "data residency"],
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value_cost: ["justified by market", "worth the cost", "sufficient return", "justifies entry", "financial viable", "value justifies"],
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differentiation: ["differentiat", "advantage", "competit", "positioning", "unique"],
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};
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const keywords = SUPPORT_KEYWORDS[category] || [];
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const supportingNodes = new Set();
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/* Inspect matched unknown node label for support keywords. */
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if (unknownId) {
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const unkNode = graph.nodes.find((n) => n.id === unknownId);
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if (unkNode) {
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const text = normalise(unkNode.label || unkNode.description || "");
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if (keywords.some((kw) => text.includes(kw))) {
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supportingNodes.add(unkNode.id);
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}
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}
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}
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/* Also inspect linked observations for support keywords. */
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if (linkedObs && linkedObs.length > 0) {
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for (const obs of linkedObs) {
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const text = normalise(obs.label || obs.description || "");
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if (keywords.some((kw) => text.includes(kw))) {
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supportingNodes.add(obs.id);
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}
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}
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}
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if (supportingNodes.size > 0) {
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return { status: "established", evidenceNodeIds: [...supportingNodes], reason: `${category} resolved evidence supports the condition` };
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}
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return { status: "unresolved", evidenceNodeIds: [], reason: `${category} condition is relevant but no resolved evidence establishes or contradicts it` };
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}
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