Early Clinical Phenotypes and Risk for Serious Mental Disorders in Young People: Need for Care Precedes Traditional Diagnoses in Mood and Psychotic Disorders
Bibliographic record
Abstract
P otentially severe and persistent or recurrent mental disorders pose the major threat to the health, happiness, and productivity of young people as they emerge from childhood to approach the threshold of adult life.The World Economic Forum has recently revealed that mental disorders now equal cardiovascular diseases (CVDs) as the major threat among noncommunicable diseases to the gross domestic product of modern economies.1 This is due largely to the timing in the life cycle of the onset of mental ill health, 2 with 75% of disorders emerging by age 25.Universal or primary prevention is the ultimate solution and must be actively researched and pursued where it works, though it is difficult to assemble solid evidence for this. 3 Where primary prevention is still out of reach (and the severe mood and psychotic disorders is one such domain), given we have a range of effective treatment strategies in psychiatry, there are 2 alternative pathways to actively follow.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".