Bibliographic record
Abstract
Papers p 417 What could possibly be more straightforward than the assessment of an injured ankle? Patients with ankle injuries, usually sustained recreationally or in a simple fall, attend emergency departments throughout the world in their hundreds of thousands every year. Most of these patients will have sustained simple injury to ligamentous soft tissue or a small avulsion fracture of no clinical significance. A minority will have sustained more serious fractures, requiring immobilisation or internal fixation. Patients with ankle injury constitute approximately 5% of all patients who visit emergency departments, although fewer than 15% of these patients will have clinically significant fractures. Differentiating between these two groups of patients is not always easy, particularly for relatively inexperienced clinicians. The safety net for indeterminate examination has always been recourse to radiography. However, such an unselective policy has resulted in inestimable numbers of unnecessary exposures to radiation for …
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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 | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.030 | 0.020 |
| Insufficient payload (model declined to judge) | 0.063 | 0.034 |
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".