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Record W4385355741 · doi:10.36660/abc.20230303

Posicionamento sobre Doença Isquêmica do Coração – A Mulher no Centro do Cuidado – 2023

2023· article· pt· W4385355741 on OpenAlexaff
Gláucia Maria Moraes de Oliveira, Maria Cristina Costa de Almeida, Daniela do Carmo Rassi, Érika Olivier Vilela Bragança, Lídia Zytynski Moura, Magaly Arrais dos Santos, Milena dos Santos Barros Campos, Viviana de Mello Guzzo Lemke, Walkíria Samuel Ávila, Alexandre Jorge Gomes de Lucena, André Luiz Cerqueira de Almeida, Andréa Araújo Brandão, Andréa Dumsch de Aragon Ferreira, Andréia Biolo, Ariane Vieira Scarlatelli Macedo, Breno de Alencar Araripe Falcão, Carísi Anne Polanczyk, Carla Janice Baister Lantieri, Celi Marques-Santos, Cláudia Maria Vilas Freire, Denise Pellegrini, Elizabeth Regina Giunco Alexandre, Fabiana G. Marcondes‐Braga, Fabiana Michelle Feitosa de Oliveira, Fátima Dumas Cintra, Isabela Bispo Santos da Silva Costa, José Sérgio N. Silva, Lara Terra F. Carreira, Lucélia Batista Neves Cunha Magalhães, Luciana Diniz Nagem Janot de Matos, Marcelo Heitor Vieira Assad, Márcia M. Barbosa, Marconi Gomes da Silva, Maria Alayde Mendonça Rivera, Maria Cristina de Oliveira Izar, Maria Elizabeth Navegantes Caetano Costa, Maria Sanali Moura de Oliveira Paiva, Marildes Luíza de Castro, Marly Uellendahl, Múcio Tavares de Oliveira, Olga Ferreira de Souza, Ricardo Costa, Ricardo Quental Coutinho, Sheyla Cristina Tonheiro Ferro da Silva, Sílvia Marinho Martins, Simone Cristina Soares Brandão, Susimeire Buglia, Tatiana Maia Jorge de Ulhôa Barbosa, Thais Nascimento, Thaïs Dutra Vieira, Valquíria Pelisser Campagnucci, Antônio Carlos Palandri Chagas

Bibliographic record

VenueArquivos Brasileiros de Cardiologia · 2023
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

que, em última análise, deve determinar o tratamento apropriado para seus pacientes.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.051
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.056
GPT teacher head0.383
Teacher spread0.328 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations12
Published2023
Admission routes1
Has abstractno

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