Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The primary goal of our research has been to quantify the in vivo loading of normal and osteoarthritic (OA) joints, and to determine the corresponding biological responses. Much of the research in this area has been performed using articular cartilage explants. We feel that, although critically important to our understanding of cartilage mechanics and biology, these experiments may not be directly transferable to interpreting the in vivo joint mechanics and elucidating the detailed mechanisms of onset and progression of OA. Therefore, we have attempted to measure the loading of the knee in freely moving feline and lapine models of OA. We have found that, upon anterior cruciate ligament transection in the cat, knee joints are more flexed, muscle forces are decreased and muscle control patterns are destroyed. Articular cartilage initially becomes thicker, softer and more permeable, resulting in generally increased joint contact areas and decreased peak pressures in the initial stages of joint degeneration compared to control values. Based on our results, we speculate that unloading of the joint (rather than overloading), combined with poor muscular control and weakness, might constitute risks for the onset of joint degeneration.
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.
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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 it