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 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 | 0.000 |
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".