A Test Panel to Assess and Document an Absence of Concussive Signs for Sports Related Concussion
Bibliographic record
Abstract
As sports-related concussions gain notoriety, legislation has also increased, placing greater liability on athletic trainers, who are typically the first to assess mild traumatic brain injury (mTBI). This has led to an increase in assessments for documenting an absence of or evidence of an mTBI. Although, their validationand standardization have been called into scrutiny. The purpose of this report is to develop and validate a neurologic test that provides objective evidence useful for documenting an absence of suspicious injury. In this retrospective cohort study, 26 athletes from the University of Cincinnati who incurred a suspicious concussive impact were evaluated using this assessment battery. Of the 26 athletes, 7 were found to have a suspicious injury and referred to a specialist for further work-up. All 7 were eventually diagnosed with a concussion. Nineteen were found to have an absence of suspicious injury, none of which developed delayed concussive symptoms.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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".