MétaCan
Menu
Back to cohort
Record W2794953620

Importancia del conocimiento del costo para el Estomatólogo General Integral

2018· article· es· W2794953620 on OpenAlexaboutno aff
Nivia Ernestina Sánchez Fernández, Argélica Sánchez Clemente, Lázaro Torres Félix, Lianne Maricela Valiente Matos, Felícita Thomas Ferrer

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languagees
FieldHealth Professions
TopicOccupational Health and Safety in Workplaces
Canadian institutionsnot available
Fundersnot available
KeywordsSpecialtyQuarter (Canadian coin)Subject (documents)PopulationLogo (programming language)MedicineHumanitiesDemographyGeographyFamily medicineComputer scienceSociologyEnvironmental healthLibrary sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Se realizó un estudio descriptivo transversal con el propósito de conocer el nivel de conocimiento acerca del costo-beneficio, costo- efectividad, costo-utilidad de la especialidad de Estomatología, en residentes de dicha especialidad en la provincia Guantánamo, durante el primer trimestre del año 2017. El universo quedó constituido por 76 residentes, a los que se les aplicó una encuesta, con el objetivo de obtener un diagnóstico acerca del tema y trazar estrategias de trabajo para eliminar las deficiencias identificadas. Entre los resultados se encontró: mayor el número de residentes femeninas, en el grupo de 23-27 años se concentró el conocimiento superior sobre el tema. Las conclusiones indicaron que en la población estudiada existe desconocimiento acerca del costo y necesidad de capacitarlos.

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)0.002
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.353
GPT teacher head0.653
Teacher spread0.300 · 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
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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueDOAJ (DOAJ: Directory of Open Access Journals)Same topicOccupational Health and Safety in WorkplacesFrench-language works237,207