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Record W4399763113 · doi:10.55411/26652544.241

Normas Técnicas Colombianas sobre el manejo seguro de sistemas de refrigeración y refrigerantes

2023· article· es· W4399763113 on OpenAlexaboutno aff
Fabiola Mejia Barragán, Maria Dolores Dolores Galindo Torres

Bibliographic record

VenueLetras ConCiencia TecnoLógica · 2023
Typearticle
Languagees
FieldHealth Professions
TopicOccupational Health and Safety in Workplaces
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Este artículo hace un recorrido por el desarrollo del proceso de expedición de las Normas Técnicas Colombianas (NTC) 6228, de sus partes 1, 2, 3 y 4, correspondientes a “Sistemas de refrigeración y bombas de calor. Requisitos de seguridad y medioambientales”. La tarea de formular las normas le correspondió al Comité Técnico 125 del Instituto Colombiano de Normas Técnicas (Icontec), encargado de “Maquinaria para uso doméstico e industrial para refrigeración”. Se revisaron y compararon las normas técnicas europeas (EN) 372 y las normas internacionales ISO 5149-2014. A partir del informe comparativo, se tomó la decisión de adoptar para Colombia las normas internacionales ISO, por ser las que mejor se acoplaban a la normalización del país. Con la expedición de la norma NTC 6228 se logró traspasar una de las 16 barreras existentes en Colombia para el cumplimiento del Protocolo de Montreal. Lo cual ha permitido que Colombia avance hacia un desarrollo sostenible y un mejor cuidado del medio ambiente, al eliminar el uso de sustancias agotadoras de la capa de ozono, creando normas que desestimulan el uso de sustancias con un alto potencial de calentamiento global.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0070.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.007

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 head0.043
GPT teacher head0.413
Teacher spread0.371 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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