1338 – A Multidimensional Assessment Of Decision-making In Anorexia-nervosa
Bibliographic record
Abstract
Background Anorexia nervosa (AN) has been inconsistently associated with impaired decision-making. Several methodological issues may underlie these discrepancies such as comorbid conditions or the assessment of this complex cognitive function with a single test. Method Sixty-eight adult women suffering from AN and 49 female controls were included. All completed a clinical assessment and a battery of neuropsychological tests assessing specific aspect of decision-making [IGT, Balloon Analogue Risk Task (BART), Probabilistic Reversal Learning Task (PRLT) and Brixton Test]. Results People with AN had poorer performance on the IGT and Brixton task, compared to controls. In addition, the AN group made less risky choices on the BART. Performances were similar on PRLT. Of importance, AN patients with a current major depressive disorder showed similar results to those with no current major depressive disorder. Conclusion These results suggest broad impaired decision making-process in people with AN characterized by inhibition in risk-taking and mismanagement of uncertainty. These impairments seem not related to mood
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".