Bibliographic record
Abstract
In the perception of gaits, timing is everything; specifi-cally, the relative timing of the individual motions in a gait, and when events occur periodically, as they do in a gait,then relative timing is equivalent to phase. The importance of phase in gaits appears in the medical, psychology, andcomputer vision literature. The video phase locked loop (vPLL) [3] is a novel sys-tem that perceives gaits, is sensitive to the phases of the component motions of the gait, and is model-free. vPLLsprovide a mechanism to perform two critical tasks in gait perception: frequency entrainment and phase locking [1].A vPLL can lock on oscillations in pixels that arise because of oscillatory motion. In doing so, the vPLL matches its in-ternal oscillators to the oscillations in pixel intensities, thus performing frequency entrainment. Phase locking occursas individual phased-locked loops at each pixel site lock simultaneously. The abundance of data extracted by the vPLLmakes gait recognition possible.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".