Is Magnetic Resonance Imaging a Suitable Imaging Modality for the Diagnosis of Osteomyelitis of the Foot or Ankle?
Bibliographic record
Abstract
A systematic meta-analysis [1] found 16 studies from which 2 2 contingency tables could be constructed and used to extract information about foot and ankle cases suspected of osteomyelitis. The studies selected for review used extraction instruments derived from the Cochrane Methods Group checklist of Systematic Review of Screening and Diagnostic Tests [2]. These studies compared MRI with either plain radiography, technetium Tc99m bone scan, or white blood cell (WBC) scan. Of the studies included for review, at least 80% of the patients were 16 years of age and older. The diagnostic accuracy in each study was determined by using bone biopsy. Sensitivity and specificity were calculated for all articles, and summary receiver operator curves (ROC) were calculated for each imaging modality. The diagnostic odds ratio (DOR) describes the ratio of the
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 | 0.016 | 0.059 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.014 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".