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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
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