Bibliographic record
Abstract
Data sets comprising:1) baseline movement symmetry data of N=30 Quarter horses. Baseline data are from straight-line, in0hand trotups on reining purpose arena surface and from left and right rein lunge exercise on the same surface..2) normalized movement symmetry data from in-hand, lunge and ridden exercise of the same N=30 horses for which baseline symmetry data are available. Movement symmetry data are normalized (for each parameter separately) so that a) a positive value for movement symmetry is observed for straight-line, in-hand exercise and b) left and right reins are recategorized with respect to the direction of asymmetry seen during the baseline, straight-line, in-hand exercise, such that an 'inside rein' is when the horse is trotting with the limb on the inside of the circle and the corresponding asymmetry parameter indicates a reduction in force production during the stance phase of said limb during the baseline trot.Movement symmetry parameters are:in mmHDmin, HDmax, HDup for vertical head movementWDmin, WDmax, WDup for vertical withers movementPDmin, PDmax, PDup for vertical mid-pelvic movement.Parameters labelled 'min' indicate the differences between the two minima in vertical movement over a stride cycle.Labelled with 'max': differences between the maxima.Labelled with 'up': differences between the upward movement amplitudes.Sign convention before normalization: asymmetries indicating a reduction in force with the left limb have negative values, indicating a reduction in force with the right limb have positive values.Data are labelled with respect to the horse (ID), the Gait (trot), the Surface (Soft), whether the values was taken during in-hand or ridden exercise, the rein (either straight, left, right or straight, inside, outside), the numbers of strides averaged to calculate the value (N), the average stride time (in ms).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.017 | 0.005 |
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".