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Record W6989405376

Automatización del sistema de manejo de grano de la industria cervecera para la obtención de malta

2005· dissertation· es· W6989405376 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueMaestría en Control de Operaciones y Gestión Logística (Escuela Superior Politécnica del Litoral) · 2005
Typedissertation
Languagees
FieldEngineering
TopicIndustrial Automation and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)ProspectionGhostingQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

TESIS EN LA QUE SE ESCOGIO COMO PROCESO INDUSTRIAL, LA OBTENCION DE MALTA A PARTIR DE LA CEBADA PARA LA ELABORACION DE CERVEZA, SE PRESENTAN PRINCIPALMENTE DOS POTENTES PROGRAMAS DE CONTROL, SUPERVISION Y ADQUISICION DE DATOS PARA LA INDUSTRIA COMO LO SON LOOKOUT 5.1 Y LABVIEW 7.0 EXPRESS DE NATIONAL INSTRUMENTS, PROGRAMAS QUE ESTÁN SIENDO BASTANTE UTILIZADOS POR SU FACILIDAD EN LA PROGRAMACION, Y SE LO HACE EN UN ENTORNO GRAFICO, SE INCLUYE EN ESTE PROYECTO LA REALIZACION DE UNA TARJETA DE ADQUISICION DE DATOS BASADO EN UN MICROCONTROLADOR 16F877A CORRESPONDIENTE A LA FAMILIA DE LA GAMA MEDIA, Y SE HARA UNA INTERFASE GRAFICA PARA LA COMUNICACION EN VISUAL BASIC 6.0

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0070.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.009
GPT teacher head0.267
Teacher spread0.257 · 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