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Análisis del transporte por locomotoras eléctricas y a baterías en el nivel principal y abastecimiento de los niveles secundarios en PRODUMIN S.A.

2020· article· es· W2565395003 on OpenAlexvenueno aff
Marco Antonio Mejía Flores, Karla Margot Morales Chacha, Wilmar Alejandro Ríos Cali

Bibliographic record

VenueConcienciaDigital · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicMultidisciplinary Research Papers Compilation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsPhilosophy

Abstract

fetched live from OpenAlex

La presente investigación establece un análisis del transporte por locomotoras eléctricas y el transporte por locomotoras a baterías en el nivel principal de abastecimiento a los niveles secundarios en la empresa minera PRODUMIN S.A., este análisis sirve para definir qué tipo de transporte es técnica y económicamente viable, así como también conocer cuáles son los factores interior mina que distorsionan al transporte logrando que sea insuficiente. Para ello, se ha tomado en cuenta la base teórica como: resistencia a la gradiente, esfuerzo a la tracción, radio de curvatura, inclinación, entre otros. La metodología aplicada es mediante un control de tiempos de los diferentes ciclos de transporte y abastecimiento, obteniendo como resultado que el factor más relevante qué produce perdidas en el transporte por locomotoras es el descarrilamiento debido a una elevada gradiente, a la falta de potencia (HP) del motor y a la capacidad de la locomotora a batería (TM) en el abastecimiento de los niveles secundarios.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.034
GPT teacher head0.355
Teacher spread0.322 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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