MétaCan
Menu
Back to cohort
Record W4315620803 · doi:10.53680/vertex.v33i158.319

Tercer Consenso Argentino sobre el manejo de los Trastornos Bipolares. Primera Parte: introducción, método de trabajo y generalidades

2022· article· es· W4315620803 on OpenAlexaff
Marcelo Cetkovich, Andrea Abadi, Sebastián Camino, Gerardo García Bonetto, Luis Herbst, Eliana Marengo, Fernando Torrente, Tomás Maresca, Julián Bustin, Carlos Morra, Ricardo Corral, Daniel Sotelo, Sergio Strejilevich, Julián Pessio, Juan José Vilapriño, Manuel Vilapriño, Gustavo Vázquez, Alejo Corrales

Bibliographic record

VenueVertex Revista Argentina de Psiquiatría · 2022
Typearticle
Languagees
FieldSocial Sciences
TopicPublic Health and Social Inequalities
Canadian institutionsQueen's University
Fundersnot available
KeywordsHumanitiesContext (archaeology)Mental healthPolitical scienceMultidisciplinary approachPsychologyMedicineGeographyPsychiatryArtLaw

Abstract

fetched live from OpenAlex

The Third Argentine Consensus on the management of bipolar disorders (TB) is an initiative of the Argentine Association of Biological Psychiatry (AAPB). As a reference document, this consensus pursues two main objectives: on the one hand, to summarize and systematize the best available evidence on the comprehensive management of this pathology; on the other, to provide a useful, up-to-date instrument for psychiatrists, multidisciplinary teams dedicated to mental health, and government agencies. During a period of approximately six months of work -that is, from May to October 2022- a committee of experts made up of 18 professionals and representatives of the three most important Psychiatry and Mental Health associations in Argentina (that is, the AAPB, the Argentine Association of Psychiatrists, AAP, and the Association of Argentine Psychiatrists, APSA) have focused on updating the information regarding TB. Finally, this document was prepared as a result of an exhaustive review of the bibliography published to date, which was strategically divided into three parts: the first deals with the generalities of TB; the second deals with the comprehensive treatment of the pathology; finally, the third analyzes TB in the context of special situations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.579
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.029
GPT teacher head0.351
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueVertex Revista Argentina de PsiquiatríaSame topicPublic Health and Social InequalitiesFrench-language works237,207