Tercer Consenso Argentino sobre el manejo de los Trastornos Bipolares. Segunda Parte B
Bibliographic record
Abstract
Este documento constituye la segunda parte B del Tercer Consenso Argentino sobre el Manejo de los Trastornos Bipolares llevada a cabo por la Asociación Argentina de Psiquiatría Biológica (AAPB). Siguiendo con el direccionamiento iniciado en el parte 2A sobre el tratamiento integral de los trastornos bipolares, esta sección se ha enfocado en sintetizar la evidencia más actualizada sobre abordajes terapéuticos para pacientes adultos. El alcance de esta sección es proporcionar recomendaciones terapéuticas para el manejo de los trastornos bipolares en adultos, (i) manía aguda, (ii) depresión bipolar, (iii) estado mixto, (iv) el suicidio en el trastorno bipolar, (v) intervenciones psicológicas. Además, el presente manuscrito aborda la evaluación y el manejo de los efectos secundarios de los tratamientos farmacoterapéuticos.
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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 | 0.002 | 0.003 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".