Playing snakes and ladders with the common fibular nerve on ultrasound after knee dislocation
Bibliographic record
Abstract
We present the case of a 21-year-old previously healthy varsity rugby athlete with left common fibular nerve (CFN) injury following knee dislocation. She presented to a local hospital with a traumatic knee injury following blunt anterior impact causing posterior dislocation. Immediately, she noted anesthesia of the lateral leg and dorsal foot, and dorsiflexion paralysis. Computed tomography revealed a tibial plateau fracture with 2 mm impaction. Magnetic resonance identified torn anterior and posterior cruciate ligaments, a torn lateral collateral ligament, and a grade one medial collateral ligamentous sprain. The fibular nerve was not commented on. Electromyography (EMG) studies confirmed a CFN mononeuropathy. She underwent orthopedic surgery for ligament repair 2 weeks post-injury followed by consultation with a peripheral nerve surgeon.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".