From genes to decisions: evolving views of genotype-based management in MEN 2.
Bibliographic record
Abstract
Diagnosis and management of MEN 2 has evolved considerably since the identification of the underlying disease mutations in the RETproto-oncogene. Presymptomatic detection and prophylactic surgical intervention are now the accepted standard of care. The strong correlation of disease phenotype and mutation genotype has already also allowed us to develop mutation-guided management strategies to optimize time ot intervention and schedule follow-up and management. As our understanding of the depth of these correlations increases we look forward to better refining our management regimes to fit both the best care requirements and the quality of life needs of the MEN 2 patient.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.023 |
| Scholarly communication | 0.012 | 0.018 |
| Open science | 0.005 | 0.007 |
| Research integrity | 0.008 | 0.025 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".