Bibliographic record
Abstract
Outcomes measures have long been used in the assessment of knee injuries and management protocols. In the past decade, there has been a shift from clinician-based outcomes tools to the development and validation of patient-reported outcomes measures. General health as well as disease- and medical condition-specific outcomes measures have been so modified. The Medical Outcomes Study 36-Item Short Form is the most commonly used general health measure in orthopaedics. Joint-specific measures include the Western Ontario and McMaster Universities Osteoarthritis Index, the Knee Injury and Osteoarthritis Outcome Score, and the International Knee Documentation Committee Subjective Form. The Lysholm Knee Scale and the Cincinnati Knee Rating Scale continue to be popular, especially for the assessment of ligamentous injuries. The ACL Quality of Life score is a disease-specific, patient-reported outcomes measure of anterior cruciate ligament deficiency. The historically used Tegner activity level scale and the recently developed Marx activity level scale are used in conjunction with these outcomes measures to make possible a global assessment of recovery from knee injuries and clinician interventions.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".