The Natural History of a Missed Scaphoid Fracture
Bibliographic record
Abstract
Scaphoid fractures are known to be a difficult diagnosis since they can be accompanied by unspecific physical complaints. Furthermore, they are difficult to visualize on standard x-ray examinations. The purpose of this report is to stress the importance of adequate diagnosis and treatment of scaphoid fractures. We describe a 50-year old female, with progressive wrist pain after a skiing accident, who was diagnosed with an untreated scaphoid fracture. This scaphoid fracture had developed into a scaphoid non-union advanced collapse of the wrist. The scaphoid non-union advanced collapse was treated with a four-corner arthrodesis and a Wafer procedure, which ultimately led to an acceptable situation. This report presents a rare complication of a missed scaphoid fracture. X-rays of the wrist commonly fail to demonstrate fractures of the scaphoid bone. Therefore more invasive imaging techniques must be used to diagnose a scaphoid fracture. J Med Cases. 2011;2(6):246-247 doi: https://doi.org/10.4021/jmc287w
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".