Cognitive Behavioral Therapy in Prodromal Psychosis
Bibliographic record
Abstract
There is a strong impetus in the psychosis research field to develop interventions that aim to prevent the onset of psychotic disorders. Over the past 15 years there has been a tremendous development in the work aimed at understanding the pre-psychotic period. More recently there has been a focus on developing and testing treatments both pharmacological and psychological that could potentially prevent or delay the onset of psychosis. One of the psychological treatments that has received the most attention is cognitive behavioral therapy (CBT). Relatively few trials have been completed and this paper reviews the existing trials. Implications of these trials for the treatment of this early phase as well as for designing future studies are discussed. Keywords: Cognitive behavioral therapy, prodromal psychosis, psychotic disorders, pre-psychotic period, ultra-high-risk criteria (UHR), Comprehensive Assessment of At Risk Mental State (CAARMS), antipsychotics, stress management, attenuated symptoms, psychological treatments
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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; both teacher heads agree on what is shown here.
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".