Traumatic Floating Total Hip Arthroplasty
Bibliographic record
Abstract
Update: This article was updated on July 19, 2024 because of a previous error. One author's name was incorrect. The correct name is Jared M. Newman. An erratum (JBJS Case Connect. 2024;14[3]:e24.00046ER) has been published for this article. Case: A 58-year-old woman with medical history of a left total hip arthroplasty performed by the direct anterior (DA) approach 2 years prior presented with left hip pain. She was found to have sustained a transverse Vancouver C periprosthetic femur fracture and an unstable periprosthetic pelvic fracture. Conclusions: This patient's case represents a previously not reported injury about a total hip arthroplasty—with disruption distal to the femoral implant and proximal to the acetabular implant, with the implant-to-bone interface unaffected. This case may guide future treatment of similar injuries.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.012 |
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".