Investigating a Seven-Day Baseline While Establishing Healthy SCAT3 Symptom Frequency and Severity
Bibliographic record
Abstract
Second only to a clinical exam, symptom checklists are used to aid in the evaluation of concussions. The validity of symptom checklists can become compromised by nonconcussed linked conditions that can vary day to day and are not taken into consideration during a baseline test. The purpose of this study was to assess the day-to-day reliability of the SCAT3 Symptom Evaluation and to determine the frequency and severity of the 22 symptoms in a nonconcussed, adult, athletic population. This study used a repeated-measure observational design and required participants to complete an online version of the SCAT3 Symptom Evaluation multiple times over a 7-day period. Moderate day-to-day reliability was found for the frequency and severity of symptoms and all of the 22 symptoms were reported by at least one participant. The results of the study suggest that the current practice of collecting the baseline symptoms once does not account for any day-to-day variation in symptoms and also demonstrates that all of the 22 symptoms listed on the SCAT3 Symptom Checklist can be present in nonconcussed, adult athletes.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".