Assessing the diagnostic metrics of cutaneous leiomyomas in hereditary leiomyomatosis and renal cell cancer syndrome: An observational study
Bibliographic record
Abstract
Hereditary leiomyomatosis and renal cell cancer (HLRCC) is an autosomal dominant syndrome caused by a germline pathogenic variant (GPV) in the fumarate hydratase (FH) gene carrying a ∼15% lifetime risk of renal cell carcinoma (RCC).1-3 Cutaneous leiomyomas (CLs) are the earliest and the most common clinical features, providing dermatologists with a unique opportunity to diagnose HLRCC and initiate RCC screening.1-3 Here, we aimed to assess the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and likelihood ratios (LRs) of CLs in HLRCC diagnosis and determine the age-dependent penetrance and NPV of CLs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".