Anterior Cruciate Ligament Reconstruction: Which Graft to Use?
Bibliographic record
Abstract
The anterior cruciate ligament is the most commonly injured ligament within the knee and its injury mostly occurs among young and active individuals. In the last few decades, the proper kind of graft choice that should be used for cruciate ligament reconstruction has been controversial. In addition to bone-patellar and tendon-bone autografts, many other choices have become popular, such as using hamstring tendons and allografts. The aim of this article is to evaluate the kinds of choices that are available for grafting and to assess their advantages, disadvantages, clinical outcome, donor site morbidity, and biomechanical criteria and healing factors. In conclusion, t here are certain situations where one graft may be favored over another. However, a universally accepted ideal graft choice currently does not exist. Therefore, a good surgeon should be familiar with the different types of grafting choices. doi: http://dx.doi.org/10.4021/jcs 202e
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".