High-Speed Video Recording Used for the Analysis of Hand Shaping in Overground Walking, Cylinder Exploration, Skilled Reaching, and Rung Walking in Rats
Bibliographic record
Abstract
Hand shaping in the rat ( Rattus norvegicus ) is adapted to many functions, including walking, climbing, exploration, and skilled manipulation. An understanding of hand movement can provide insights into the neural control of movement and the impairments that result from brain injury. Here, hand movements are described in a number of widely used tests: overground walking, horizontal or inclined ladder rung walking, exploring a vertical wall of a cylinder, and skilled reaching for food. High-speed (250–1,000 frames/s) video recording with frame-by-frame behavioral and kinematic analyses reveals the details of hand shaping and its sensory control. Three hand gestures are common to all tasks: (1) release—the hand is pushed off and lifted from a substrate; (2) collection—the digits are closed and flexed through limb transport; and (3) manipulation—the hand and digits are shaped to contact a target. Manipulation features specialized digit use and varied sensory control (olfaction, vibrissae and sinus hairs, and tactile senses) in the different tasks. Conserved release and collection vs. the variability of manipulation reveal the multisensory skilled action used in control of the hand.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".