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Record W7132960270

Evaluación de los costos del sistema de logística externa de la empresa Manitoba Ltda

2008· article· es· W7132960270 on OpenAlexaboutno aff
Diego Figueroa Carvajal

Bibliographic record

VenueRepositorio Digital Universidad Autonoma de Occidente · 2008
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicLogistics and Transportation Systems
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Context (archaeology)Scope (computer science)Control (management)
DOInot available

Abstract

fetched live from OpenAlex

En este trabajo se hablará acerca de algunos procesos logísticos de la empresa Manitoba ltda. Como los son el Almacenamiento, Despacho y Fletes, con sus respectivos costos; se tratará, paso a paso, la importancia de cada unos de estos procesos dentro de la cadena de valor de la Compañía. Se iniciará haciendo una introducción acerca de cual es la importancia de cada proceso, analizado y mostrando la importancia de un buen manejo de los mismos; se presentará el estado actual de los costos de la Empresa, se realizarán recomendaciones que permitan un mejor uso de esos recursos. Específicamente en la parte de fletes se evaluarán dos posibles proyectos para mejorar la rentabilidad de los pedidos de la Compañía, logrando presentar soluciones para la toma decisiones

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)0.004
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.244
Teacher spread0.231 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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