Capabilities / A · Foundational

A.3 Discrepancy detection Active

Given material that may contain omissions, alterations or inconsistencies, the agent produces a defect list identifying each one. Graded by recall over seeded defect clusters and by false-positive rate, including defect-free control items.

Evidence: none. No benchmark card lists this capability yet. No level is issued: methodology 0.1.0 sets no level thresholds.

Domain
A · Foundational
Evidence form
program
Veto constraints
—
Depends on
—
Required by
C.4C.7D.1D.16D.17D.2D.4D.6D.9
Internal task families
doc_audit, teach_review, evidence_check
External anchors
MEDEC, HealthBench
Version
0.1.0 · 0.1.0

Definition in detail

Much of medical review work is finding what is wrong or missing in material someone else produced. An agent that over-reports wastes reviewer time; one that under-reports gives false assurance.

Inputs a task gives

  • Documents or tables that may contain seeded omissions, alterations or internal contradictions
  • The reference material or rules against which a discrepancy is defined
  • Defect-free control items mixed with defective items
  • A defect taxonomy listing the allowed defect types

Artifact required

A defect list with one entry per finding: location (document, field or line), defect_type (from the supplied taxonomy), evidence (verbatim excerpt) and description. An item with no defects yields an explicit empty list.

How it is graded

Seeded defects are grouped into clusters, so one underlying defect visible at several locations counts once. A program scores recall over clusters and the false-positive rate over entries that match no cluster. Control items must yield an empty list; any entry on a control item is a false positive. Evidence excerpts must exist verbatim in the input.

In scope

  • Omissions, alterations and contradictions within the supplied material
  • Classifying each finding with the supplied taxonomy
  • Returning an empty list for defect-free items

Out of scope

  • Writing a corrected version of the material - prohibited under X.3
  • Domain review lists that add clinical or coding rules on top of detection - graded under D.1, D.2, D.4, D.6 and related D entries
  • Defects in graders, validators or reference solutions - graded under C.7
  • Inconsistencies between a gold standard and its raw data - graded under C.4

Typical failures

Expected failure patterns; not measured rates.

Benchmarks

No benchmark card lists this capability.

Grading references

No grading reference is mapped to this capability.

Levels by model and harness

No verified results yetLevels would be derived from site-verified result records; methodology 0.1.0 sets no level thresholds, so the level shows not issued.