Bibliographic record
Abstract
대퇴 삽입물 주위 골절은 고관절 치환술 후 발생하는 가장 치료하기 어려운 합병증 중 하나이며, 만족스러운 치료 결과를 얻으려면 면밀한 임상 및 방사선 사진 평가, 정확한 분류 및 치료 원칙에 대한 이해가 필수적이다. Vancouver 분류 시스템은 이러한 삽입물 주위 골절의 치료를 계획하기 위한 간단하고 효과적인 방법이다. 대퇴 스템이 안정된 골절은 견고한 내고정으로 효과적으로 치료할 수 있지만 대퇴 스템 해리가 동반된 경우 삽입물 주위 대퇴 골절은 재치환술이 필요하다. 고관절 치환술 후 발생할 수 있는 삽입물 주위 대퇴 골절 환자의 치료 원리와 대퇴 스템의 안정성을 평가하는 방법에 대해 설명하고자 한다.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".