Bibliographic record
Abstract
Classification of ankle fractures, 4 Fixation methods, 4 Locked plating systems, 4 Syndesmosis, 5 Posterior malleolus, 5 Vertical fracture of the medial malleolus, 5 Postoperative immobilization and weight bearing, 6 Outcome of ankle fracture surgery, 6 Complications in ankle fracture surgery, 6 Wound complications and surgical site infection (SSI), 6 Malreduction, loss of reduction, and post-traumatic osteoarthritis, 7 Other complications, 8 Patients at higher risk for postoperative complications, 9 Hardware related infection, 9 General principles, 10 Exposed hardware and biofilm, 10 Removal or retention of infected hardware?10 Salvage of exposed hardware, 10 Flap reconstruction for soft-tissue defects in the ankle, 10 Timing of flap coverage, 11 Negative pressure wound therapy (NPWT), 11 Flap coverage in the salvage of infected hardware, 11 95% CI 95% confidence interval ASA American society of anaesthesiology score ATFL anterior tibiofibular ligament BMI body mass index (kg/m2) CI confidence interval C-RP C-reactive protein CT computed tomography HRQoL health related quality of life ICD international classification of diseases
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".