MétaCan
Menu
Back to cohort
Record W3163856762 · doi:10.35366/99451

Impacto de un programa educativo de espirometría en el primer nivel de atención en México

2021· article· es· W3163856762 on OpenAlexaff
Rosaura Esperanza Benítez-Pérez, Juan Carlos Vázquez-García, Elisa Sánchez-Gallén, Jorge Salas‐Hernandez, Rogelio Pérez‐Padilla, Adela Reyes-Herrera, Diana Ruiz-Ascencio, Robert Camargo-Ángeles, Lorena Irineo-González

Bibliographic record

VenueNCT Neumología y Cirugía de Tórax · 2021
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Medical Education
Canadian institutionsImpact
Fundersnot available
KeywordsPolitical scienceHumanitiesArt

Abstract

fetched live from OpenAlex

en particular en el primer nivel de atencin, lo que genera subdiagnstico y diagnstico inadecuado de enfermedades respiratorias obstructivas. El aprendizaje de la maniobra espiromtrica y su interpretacin no son obligatorios en los programas acadmicos de las facultades de medicina en muchos pases incluyendo Mxico. Objetivo: Evaluar los posibles

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)0.004
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 score0.073
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.030
GPT teacher head0.437
Teacher spread0.407 · 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

Citations5
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueNCT Neumología y Cirugía de TóraxSame topicHealth and Medical EducationFrench-language works237,207