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Record W4310591066 · doi:10.36660/abc.20220099

Médico-Pesquisador, Prática Médica e Pesquisa: A Importância do Médico-Pesquisador na Medicina Atual

2022· letter· pt· W4310591066 on OpenAlexaff
Protásio Lemos da Luz

Bibliographic record

VenueArquivos Brasileiros de Cardiologia · 2022
Typeletter
Languagept
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

O ensino e a prática médica brasileiros sofrem de inúmeras limitações, entre as quais destaca-se a deficiente formação científica. Ultimamente surgiu a figura do médico-pesquisador como elemento capaz de suprir, em parte, tal deficiência. Aqui procuro avaliar seu papel. A medicina tradicional ocupa-se da aplicação do conhecimento médico. Portanto, lida com as características gerais das doenças, isto é, sintomas, evolução, comprometimento fisiopatológico de órgãos e sistemas, etiologia, métodos diagnósticos e terapêutica. […] Médico-Pesquisador, Prática Médica e Pesquisa: A Importância do [...]

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)0.021
metaresearch head score (Gemma)0.112
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.979
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.112
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.003
Science and technology studies0.0020.006
Scholarly communication0.0050.006
Open science0.0020.002
Research integrity0.0200.026
Insufficient payload (model declined to judge)0.0050.003

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 head0.387
GPT teacher head0.439
Teacher spread0.052 · 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.

Study designNot applicable
DomainMethods
GenreCommentary

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

Citations2
Published2022
Admission routes1
Has abstractyes

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