RELIABILITY AND SEX DIFFERENCES OF CHOICE VISUAL-MOTOR REACTION TIME AND FORCE CHARACTERISTICS OF NECK MUSCLES USING A NOVEL TEST
Bibliographic record
Abstract
IntroductionSensorimotor characteristics such as visual-motor reaction time (VMRT), peak force, and rate of force development (RFD) of the neck muscles play an important role in sports-related concussions (SRC). The purpose of this study was to establish reliability and sex differences of neck-specific VMRT and force characteristics of neck muscles using a novel test. MethodsThis is a two-part study. A total of 15 subjects and 49 subjects participated to examine test–retest reliability and sex differences in multidirectional choice VMRT and peak force and RFD values, respectively. ResultsReliability was moderate for VMRT (Intraclass Correlation Coefficient, ICC = 0.406–0.624) and moderate to excellent for peak force and RFD (ICC = 0.443–0.948). Females had significantly slower VMRT (P < 0.001–0.012), while no sex differences were found in peak force and RFD (P = 0.079–0.763). DiscussionFuture investigations should incorporate these characteristics during baseline testing and examine if they can be identified as prospective risk factors of SRC.
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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 | 0.003 | 0.008 |
| 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) | 0.002 | 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".