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.The patient was seen in our musculoskeletal medicine clinic for preoperative ultrasonographic assessment.She had regained partial sensation of the left distal Playing snakes and ladders with the common fibular nerve on ultrasound after knee dislocation
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".