Source-string analysis showed the Hypertonie miss is not a bug but a
structural consequence of embedding whole noisy Anamnese paragraphs
against terse Alpha-ID corpus strings. Resolution (user-decided): the
caller (doctate's LLM) extracts diagnostic phrases; this project still
contains no LLM — it just receives a cleaner input contract.
Spec: new §1a (rationale + generous extraction contract + the honest
extractor-is-recall-bottleneck trade-off); §1/§2/§3/§6/§8/§9/status
updated; §6 reworks eval (representativeness shift, paraphrase axis,
hand-labeled phrase-list set, separated extraction-ceiling vs matcher
recall). Plan: Goal/Architecture, revision banner, Task 6 rewritten
(one non-empty line = one unit; split_segments name/fields retained,
minimal-churn decision), Task 11/19 revision notes.
Code not yet changed (segment.rs still blank-line splits) — next step.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Documents the corpus↔ClaML 5th-digit gap, the decided Modifier/
ModifierClass expansion fix (Goal 1), and the deterministic /
seeded-sample eval corrections from the final review.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Brainstormed design: free-text dictation (marker-segmented by
doctate) -> single prioritized top-10 ICD-10-GM list with tag
filtering. Two modes (C lexical baseline, A hybrid retrieval +
IONOS bge-m3 + Qwen3-VL-Reranker-8B), eval harness via synthetic
transcription errors, one-time cost-guarded embedding.
Licensed BfArM data dirs and local settings are gitignored.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Brummel