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Record W2749296613 · doi:10.25118/2236-918x-6-2-2

Efeitos do consumo de cannabis na gravidez e no período pós-parto

2016· article· pt· W2749296613 on OpenAlexaff
Hewdy Lobo Ribeiro, Joel Rennó, Renata Demarque, Juliana Pires Cavalsan, Renan Rocha, Amaury Cantilino, Jerônimo de Almeida Mendes Ribeiro, Gislene Valadares, Antônio Geraldo da Silva

Bibliographic record

VenueDebates em Psiquiatria · 2016
Typearticle
Languagept
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

A cannabis é a substância psicoativa ilícita mais consumida pelas gestantes no Brasil e no mundo. Muitos estudos foram publicados tendo em vista a saúde do feto e do bebê em aleitamento materno, porém poucos focaram na saúde da gestante e da puérpera usuária de cannabis. O novo papel e os desafios de ser mãe podem ser protetivos para a cessação do uso de drogas, porém para mulheres em situação de vulnerabilidade podem representar risco para a manutenção da dependência. O presente artigo de revisão de literatura apresenta uma visão global sobre o uso de cannabis pelo gênero feminino, destacando-se as particularidades dos impactos desse consumo na gravidez e no pós-parto e as intervenções necessárias para a atenção e cuidado à mãe.

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 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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.016
GPT teacher head0.298
Teacher spread0.282 · 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 designObservational
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

Citations1
Published2016
Admission routes1
Has abstractyes

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