Fatigue Loading Causes Earlier Modulus Reduction Than Creep Loading in Healing Rabbit Medial Collateral Ligaments
Bibliographic record
Abstract
During normal daily activities, ligaments experience a range of stresses. These stresses can be repetitive, sustained or a complex combination of the two [1]. The stress-strain curve of ligaments is comprised of two parts: the toe region with increasing modulus, and the linear region which has constant modulus. Normal physiologic loading occurs between 5% and 10% of the ultimate tensile strength (UTS), and the transition from the toe region to the linear region occurs at approximately 15% of UTS [2]. Ligaments healing from an injury have decreased failure properties compared to normal ligaments [3], which may correspondingly affect the ability of healing ligaments to function under physiologic loads. Modulus reduction was found to be a suitable marker of damage in normal ligaments [4]. The purpose of this study was to investigate the effect of long-term fatigue and creep loading on modulus changes in healing medial collateral ligaments (MCLs).
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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 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".