Risk-Sensitive Decision-Making and Self-Harm in Youth Bipolar Disorder
Bibliographic record
Abstract
Youth with bipolar disorder (BD) are at high risk for suicide and have high rates of self-harm, which includes both suicide attempts and non-suicidal self-injury. Greater risk-taking has been associated with suicide attempts in youth with major depression, although there are no studies examining the relationship between risk-related decision-making and self-harm in youth with BD. We aimed to examine the association of suicide risk with risk-sensitive decision-making in a controlled sample of youth with BD. ]) and 82 age- and sex-matched control youth aged 13-20 years were recruited between 2012 and 2020. Decision-making and risk-taking performance were assessed via the Cambridge Gambling Task within the Cambridge Neuropsychological Test Automated Battery (CANTAB). General linear models were used to examine differences between groups with control for age, sex, and IQ. = .01). youth serving a protective role in suicide risk. Future longitudinal studies are needed to examine the temporal association of neurocognition and self-harm among youth with BD.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".