> For the complete documentation index, see [llms.txt](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/.spec_system/archive/sessions/phase28-session03-calibration-version-and-confidence-dampener/implementation_summary.md). # Implementation Summary **Session ID**: `phase28-session03-calibration-version-and-confidence-dampener` **Completed**: 2026-06-14 **Duration**: 2.0 hours *** ## Overview Session 03 added scoring provenance and confidence calibration to Trend Finder. New snapshots, topics, and prediction records now carry the local scoring version, legacy records parse as `unknown`, and movement plus retro comparisons surface cross-version provenance without suppressing their normal outcomes. The final opportunity score now applies a bounded sample-confidence dampener while preserving the raw six-factor score and making confidence context visible in ScoreBreakdown and Engine Replay. *** ## Deliverables ### Files Created | File | Purpose | Lines | | -------------------------------------------------------------- | ---------------------------------------------------------------------------------------- | ----- | | `scripts/lib/ai-runtime/__tests__/scoring-calibration.test.ts` | Focused calibration, version, confidence, dampener, and thin-vs-strong evidence coverage | \~205 | ### Files Modified | File | Changes | | ------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- | | `scripts/lib/ai-runtime/scoring.ts` | Added scoring-version constants, comparison helpers, sample-confidence derivation, dampener math, and topic metadata | | `scripts/lib/ai-runtime/snapshots.ts` | Added snapshot scoring-version defaults, write-time stamping, and comparison metadata | | `scripts/lib/ai-runtime/movement-analyst.ts` | Added current/previous scoring-version inputs, local comparison metadata, prompt context, and AI override protection | | `scripts/lib/ai-runtime/predictions.ts` | Stamped deterministic and accepted AI prediction records with local scoring version and rejected AI-provided version fields | | `scripts/lib/ai-runtime/retros.ts` | Added retro current/prediction scoring-version comparison metadata while preserving due-state behavior | | `scripts/extensions/trend-finder/collector.ts` | Propagated version metadata through payloads, snapshots, movement, predictions, retros, story-log rows, summaries, and trace output | | `src/extensions/trend-finder/schema.ts` | Added additive scoring-version, confidence, movement, prediction, retro, story-log, and summary schema fields | | `src/extensions/trend-finder/view-model.ts` | Added score-confidence labels and scoring-version warning view models | | `src/extensions/trend-finder/components/score-breakdown.tsx` | Rendered sample confidence, raw score, adjusted score, and dampener context with accessible labels | | `src/extensions/trend-finder/components/engine-score-panel.tsx` | Rendered scoring-version mismatch and unknown-version provenance in Engine Replay score context | | `src/extensions/trend-finder/components/trend-card.tsx` | Passed topic score-confidence context to ScoreBreakdown | | `src/extensions/trend-finder/components/signal-radar.tsx` | Passed radar topic score-confidence context to ScoreBreakdown | | `src/extensions/trend-finder/views/watchlist-view.tsx` | Passed watchlist score-confidence context to ScoreBreakdown | | `src/extensions/trend-finder/views/hidden-gems-view.tsx` | Passed hidden-gem score-confidence context to ScoreBreakdown | | `src/extensions/trend-finder/engine-replay-model.ts` | Added scoring-version warning model wiring | | `scripts/lib/ai-runtime/__tests__/snapshots.test.ts` | Added snapshot stamping, legacy `unknown`, and comparison coverage | | `scripts/lib/ai-runtime/__tests__/movement-analyst.test.ts` | Added cross-version movement prompt, fallback, and accepted-AI coverage | | `scripts/lib/ai-runtime/__tests__/predictions.test.ts` | Added local stamping, AI-output sanitation, and legacy parsing coverage | | `scripts/lib/ai-runtime/__tests__/retros.test.ts` | Added cross-version retro, sanitation, and due-state preservation coverage | | `scripts/lib/ai-runtime/__tests__/scoring.test.ts` | Updated legacy scoring assertions for raw and adjusted score metadata | | `scripts/extensions/trend-finder/__tests__/collector.test.ts` | Added payload stamping, trace metadata, and prediction-retro summary coverage | | `src/extensions/trend-finder/components/__tests__/score-breakdown.test.tsx` | Added confidence context rendering coverage | | `src/lib/__tests__/trend-finder-schema.test.ts` | Added legacy defaults and view-model label coverage | | `src/lib/__tests__/trend-finder-engine-replay.test.tsx` | Added Engine Replay scoring-version provenance coverage | | `src/lib/__tests__/trend-finder-dashboard.test.tsx` | Updated manual topic-card fixture for additive confidence/version fields | | `.spec_system/state.json` | Marked the session completed and cleared `current_session` | | `.spec_system/PRD/phase_28/PRD_phase_28.md` | Updated phase progress to 3/15 and moved the next session to Session 04 | | `.spec_system/PRD/phase_28/session_03_calibration_version_and_confidence_dampener.md` | Marked the session stub complete | | `package.json` | Bumped package version from `0.1.320` to `0.1.321` | | `README.md` | Synced the visible release version to `0.1.321` | | `docs/CHANGELOG.md` | Added the Session 03 closeout entry | *** ## Technical Decisions 1. **Local scoring provenance is trusted**: Script-side write paths stamp `SCORING_VERSION`; AI output cannot supply or override scoring provenance. 2. **Flag comparisons instead of hiding rows**: Movement and retro records keep their existing status/outcome behavior while carrying separate comparison metadata for `unknown` and `mismatch` states. 3. **Dampen only the final score**: The existing six-factor weighting remains intact; the raw weighted score, adjusted score, confidence value, and dampener delta stay explicit for rendering and later named contributions. 4. **Legacy records remain visibly legacy**: Missing versions parse as `unknown` rather than being silently upgraded to the current scoring version. *** ## Test Results | Metric | Value | | -------- | ------------- | | Tests | 3507 | | Passed | 3507 | | Coverage | Not collected | Commands validated: * `bun run test` - PASS, 286 files and 3507 tests * `bun run lint` - PASS * `bun run typecheck:scripts` - PASS * `bun run typecheck` - PASS * `git diff --check` - PASS * ASCII/LF scan - PASS, 31 files checked *** ## Lessons Learned 1. Full-suite validation exposed stale legacy scoring assertions that focused tests did not catch; the old assertions now verify raw and adjusted score metadata under the new contract. 2. Treating schema-default `unknown` as absent on snapshot writes is necessary so new snapshots receive the local scoring version while legacy reads remain honest. 3. The score dampener changed thin-sample watchlist classification, so UI and dashboard tests need to assert calibrated behavior rather than raw weighted score behavior. *** ## Future Considerations Items for future sessions: 1. Session 04 should use the scoring-version stamp when adding topic noise gates and visibility bands so score movement remains explainable. 2. Session 06 can convert the confidence dampener delta into the shared named contribution convention. 3. The SQLite observation store plan can absorb scoring-version metadata into durable rows when that transition lands. *** ## Session Statistics * **Tasks**: 23 completed * **Files Created**: 1 implementation test file, plus this summary * **Files Modified**: 25 implementation/support files and 6 workflow/version files * **Tests Added**: 9 suites added or expanded * **Blockers**: 0 resolved --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. 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