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Record W4200283082 · doi:10.51891/rease.v7i11.3175

TABAGISMO COMO PROBLEMA NA SEGUNDA METADE DO ANO 2021, QUANTO AVANÇAMOS A RESPEITO?

2021· article· pt· W4200283082 on OpenAlexaff
Cláudio Henrique Facundo dos Santos, Larêssa Pinheiro Cavalcante, Marcos José Firmino da Silva Filho, Roberto de Barros Silva

Bibliographic record

VenueRevista Ibero-Americana de Humanidades, Ciências e Educação · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

O tabagismo é uma doença crônica, caracterizado pelo consumo excessivo de produtos à base de tabaco, sendo causada pela dependência a nicotina. Ainda no ano de 2021, o tabaco representa um dos maiores insultos para a saúde pública do mundo pela sua alta prevalência e distribuição. É a segunda droga mais usada pela humanidade, ficando atrás apenas do álcool e na frente da Cocaína, está relacionado a doenças crônicas como câncer de pulmão, câncer de laringe, enfisema pulmonar, entre outras, representado custos de milhões de dólares nos sistemas de saúde.

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)0.004
metaresearch head score (Gemma)0.002
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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.487
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.005
Science and technology studies0.0030.002
Scholarly communication0.0030.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.047
GPT teacher head0.335
Teacher spread0.288 · 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; both teacher heads agree on what is shown here.

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
Published2021
Admission routes1
Has abstractyes

Explore more

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