Bibliographic record
Abstract
비록 인공 고관절 치환술 후 발생하는 대퇴스템 주위 골절의 발생 빈도가 증가할 것으로 예상되나, 여전히 치료가 어려운 합병증의 하나로 남아있다. 이러한 골절에 대한 최선의 치료 결과를 얻기 위해서는 철저한 임상 및 방사선학적 검사, 정확한 골절 분류, 최신 치료 원칙의 이해가 필수적이다. Vancouver 분류법은 치료 계획을 수립하는 데 쉽고, 효과적이며 재현성이 높은 방법이다. 불안정한 대퇴스템과 동반된 대퇴스템 주위 골절은 재치환술을 필요로 하지만 대퇴스템이 안정적으로 고정된 경우 골접합 치료만으로 충분하다. 저자 들은 Vancouver 분류법에 따른 대퇴스템 주위 골절의 치료 원칙 및 합병증을 피하는 방법에 대해 기술하고자 한다.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".