Pathways to care for those at clinical high risk of developing psychosis
Bibliographic record
Abstract
AIM: Understanding the pathways to care is a prerequisite for early detection in first-episode patients with psychosis. Less in known about the pathways to care for individuals at clinical high risk for psychosis. METHODS: A sample of 35 clinical high risks for psychosis individuals were administered a semistructured questionnaire inquiring about pathways to care. RESULTS: The majority of contacts were made to general practitioners (32.8%). Various symptoms of concern were reported among the sample, the most common being depression (15.9%) followed by anxiety (11.0%). Delusions/paranoia were the most frequent symptoms associated with successful referral to contacts (14.3%). CONCLUSION: Education on the pathway to successful access to care and treatment in a putatively prodromal for psychosis group of individuals is valuable information that can potentially aid in a faster discovery of these individuals and their access to treatment and care.
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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) | 0.000 | 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) | 0.000 | 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".