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Record W4404318241 · doi:10.1101/2024.11.10.24317061

The science of child and adolescent mental health in Brazil: a nationwide systematic review and compendium of evidence-based resources

2024· preprint· en· W4404318241 on OpenAlexaff
Lauro Estivalete Marchionatti, André Cardoso Campello, Jessica Azevedo Veronesi, Carolina Ziebold, André Comiran Tonon, C Casella, Julia Schäfer, Aaliyah Nadirah Madyun, Arthur Caye, Christian Kieling, Luís Augusto Rohde, Guilherme V. Polanczyk, Jair de Jesus Mari, Rudi Rocha, Leonardo Rosa, Daniela De La Rosa, Zila M. Sanchez, Rodrigo A. Bressan, Shekhar Saxena, Sara Evans‐Lacko, Pim Cuijpers, Kathleen R. Merikangas, Brandon A. Kohrt, Jason Bantjes, Shirley Reynolds, Zeina Mneimneh, Giovanni Abrahão Salum

Bibliographic record

VenuemedRxiv · 2024
Typepreprint
Languageen
FieldPsychology
TopicPsychology and Mental Health
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCompendiumMental healthPsychologyEnvironmental healthDevelopmental psychologyPsychiatryMedicineGeography

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.113
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.037
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.113
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0090.008
Bibliometrics0.0370.029
Science and technology studies0.0010.002
Scholarly communication0.0050.004
Open science0.0030.003
Research integrity0.0020.002
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 head0.069
GPT teacher head0.415
Teacher spread0.347 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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