Cognitive, Experiential and Genetic Contribution to Depressive Symptoms in Male and Female Students with a History of Concussion
Bibliographic record
Abstract
Mild traumatic brain injuries, or concussions, are generally accompanied by a variety of somatic, cognitive and affective symptoms, including depressive-like symptoms.Although for most individuals, the affective symptoms are relatively transient, for others (~ 17 to 44%), these symptoms can persist for extended periods of time.The longer-lasting symptomology appears to depend, in part, on gender, age, prior concussion history and symptom presentation.Accordingly, the purpose of the present study was to examine several cognitive, genetic, and experiential factors which might be associated with depressive pathology among males and females with and without a history of concussion.To this end, male and female university students, ranging in age from 17 to 25, with a history of concussions (n = 105) and a control group of "never-concussed" individuals (n = 214) completed the Wisconsin Card Sorting Task (WCST) to assess executive function as well as several questionnaires assessing cognitive vulnerabilities to depression, early life v COMT val 158 met .....................
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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 | 0.001 |
| 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) | 0.003 | 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".