MétaCan
Menu
Back to cohort

Sistema de ventilación para labores subterráneas de la empresa PRODUMIN S.A.

2020· article· es· W2559113978 on OpenAlexvenueno aff
Marco Antonio Mejía Flores, Karla Margot Morales Chacha, Diego Ramiro Chacha Borja

Bibliographic record

VenueConcienciaDigital · 2020
Typearticle
Languagees
FieldHealth Professions
TopicOccupational Health and Safety in Workplaces
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

La investigación plantea un sistema de ventilación para labores de interior mina en la empresa PRODUMIN S.A.; la metodología utilizada es recoger datos en campo de los factores como: variaciones de temperatura, emisión permanente de gas por voladura y también la establecida por la maquinaria. Los rangos de generación de polvo y exceso de humedad que intervienen crean condiciones inseguras en un ambiente de trabajo, del mismo modo la deficiencia en el rendimiento operacional; datos técnicos que fueron considerados con respecto a los parámetros del nuevo frente de explotación, tales como: sección de la galería, maquinaria a utilizarse, longitud de recorrido del frente y geometría de las labores mineras a efectuarse en el nuevo bloque de producción. Esto, permite estipular las condiciones más convenientes en el ámbito de seguridad minera de un sistema de ventilación inducido frente al método de ventilación utilizado tradicionalmente, y proponer un sistema de ventilación mixto impelente-aspirante con el uso de ventiladores, turbinas de extracción y mangas de ventilación.

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)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.059
GPT teacher head0.423
Teacher spread0.365 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueConcienciaDigitalSame topicOccupational Health and Safety in WorkplacesFrench-language works237,207