The extraction model emits intents, never resolved values — no FDI codes, no
ISO dates. This adds the contract it must satisfy and the resolver that turns
spoken tooth references into FDI, so quadrant mirroring is a unit test rather
than a hope.
resolveToothIntent never guesses and never clamps: position 9, a deciduous
tooth, or a malformed shape resolve to null and are reported as unresolved with
the transcript span that produced them, so the review sheet can show the
clinician exactly which words were not understood.
Everything here parses untrusted model output, so nothing may throw:
- a non-array where a list was expected degrades like any other malformed shape
- explicit codes are trimmed, for parity with normalizeTeeth
- '51' reports as not_permanent_tooth (a real primary tooth the chart cannot
show) while '99' reports as malformed — the clinician should not be told a
deciduous tooth was heard when nothing tooth-shaped was
- unresolved items only dedupe when they carry a spoken span; without one,
collapsing them would hide a lost tooth behind a single blank review row
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
