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MeethealthLabs

Working paper2026Clinical constraint reliabilityMeethealth Research

Clinical Credulity

Given biologically impossible patient records, such as Turner syndrome in a male or co-coded type 1 and type 2 diabetes, models wrote fluent clinical plans and flagged none of them unless explicitly told to check.

0 / 128
impossible records flagged without an explicit instruction (95% CI 0–2.9%)
81.3%
flagged when instructed to screen (296 / 364, Fisher p ≈ 6×10⁻¹⁶)
56–100%
range of instructed detection across the four configurations

Question

Before writing a plan, a clinician checks whether the referral makes sense. Do diet-generating models do the same when a patient record is impossible?

Data

1,527,415 plans from four model configurations (Gemma 4 26B and 31B, Llama 4 Maverick and Scout) over a shared population of synthetic patients. Impossible records occurred at 0.17–0.24%.

Method

  • Built a high-precision impossibility detector covering sex–diagnosis contradictions and mutually exclusive conditions, validated by manual review.
  • Detected whether each plan flagged the contradiction, using a window-based flag detector on English plans.
  • Compared plans generated with and without a prompt instruction to screen for data contradictions (a natural experiment across batches).

Findings

  • Without the instruction, all four configurations flagged 0 of 128 impossible-patient instances.
  • With the instruction, detection rose to 81.3% (296 of 364), ranging from 100% to 56% by configuration.
  • Residual failures concentrated in contradictions that need clinical knowledge to see, such as Klinefelter syndrome recorded on a female patient.
Instructed detection rate by configuration
ConfigurationDetected
Gemma 4 31B100%
Gemma 4 26B≈96%
Llama 4 Maverick81.9% (86 / 105)
Llama 4 Scout56.2% (59 / 105)

Failure examples

Built around the impossibility

Uninstructed, the plan didn't just ignore the contradiction; in a quarter to three-quarters of cases it was organised around the impossible attribute (61.3% for Maverick, 74.2% for Scout).

Knowledge-bound misses

A 15-year-old female record carrying Klinefelter syndrome, a male-only chromosomal condition, was served a full plan with 172 g of protein a day. A record co-coding type 1 and type 2 diabetes received a complete clinical anamnesis with no comment.

All patients are synthetic. Examples are drawn from the audited corpus.

Limitations

  • Not randomised: instructed and uninstructed regimes correlate with generation batches.
  • Maverick versus Scout confounds model with decoding temperature.
  • Flag detection is English-only; the distinct-impossible sample is modest (492 profile-level observations).
  • Covers two of eight contradiction classes at scale, and omits anthropometric incoherence, the most common defect class in the corpus.

What we changed

Credulity is a safety failure distinct from sycophancy, and the fix is upstream of generation. Our Assessment Gate now screens patient records before generation, so impossible profiles are stopped before they reach a model or a training set.

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