Examining components of decision making in obsessive-compulsive disorder
Bibliographic record
Abstract
The purpose of this study was to examine decision making in individuals with OCD as compared to healthy controls. To the author's knowledge, this was the first study to evaluate decision making in OCD using multiple neuropsychological measures to assess proposed components of the construct, including ambiguity, impulsivity, risk perception, and organizational strategies. It was also believed to be the first study to compare subjective and objective decision making in OCD. Subjective decision making showed poor convergent validity with the three objective measures, as only self-reported indecision was significantly different between groups. Performance on a memory task, as a proxy for organizational strategies, indicated differences between groups on strategic learning and the effect of interference. Although the presence of decision making deficits remains inconclusive, this study provided support for the conclusion that individuals with OCD have perceived difficulty with decision making, but not necessarily objective deficits. Treatment implications are discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".