Bibliographic record
Abstract
Summary If a diagnosis of bipolar disorder (BD) is proved, lifelong treatment is required, even during periods of remission. The treatment option (pharmacological, psychotherapeutical and/or psychosocial) required depends on the stage of illness (acute, maintenance or continuation), its severity, the type of BD, possible comorbid disorders, the age and family history (particularly in terms of their response), and the expectations of patients and care givers. Finding the right medication (effective plus no or tolerable side effects) can take some trial and error, which requires patience. Some of the medications need weeks/months to be fully effective. Patients should be motivated to record a mood chart for a better evaluation of their long-term course. Psychoeducation and support should be initiated during every stage of the disease (beginning at assessment level). Children and adolescents diagnosed with BD should receive as much support as possible through, for example, support groups and so on. As most of the pharmacological strategies are based on studies in adults, more research is needed (especially longitudinal studies with well-described and larger samples) to better understand the core pathophysiological processes underlying BD in youth, as well as the mechanism that influences the course. This may lead to improved treatment options and a better long-term course.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.191 | 0.055 |
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".