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Record W1485437487

Evaluación de mezclas arcillas con adición de tobas vítreas para la fabricación ladrillos cerámicos Bayamo

2015· article· es· W1485437487 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

VenueCiencia & Futuro · 2015
Typearticle
Languagees
FieldComputer Science
TopicEngineering and Information Technology
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Se realizo el estudio de una mezcla compuesta por arcilla y tobas vitreas para la produccion de ladrillos, en La Canada; provincia Granma, para su posible utilizacion en la Industria de Materiales de la Construccion, utilizando esta como aditivo para los ladrillos de barro; a partir de sus propiedades fisico-mecanicas. Para ello se caracterizaron los materiales de acuerdo a su composicion quimica y sus propiedades fisicas. Se elaboraron 36 probetas de las cuales se hicieron 9 con un contenido de arcilla solamente y las restantes con 10, 15 y 20 % de aditivo tobas vitreas respectivamente, las cuales se sometieron a ensayos de contraccion natural, peso, absorcion de agua y resistencia a la compresion mecanica para determinar el comportamiento fisico mecanico en cada una de las probetas durante todo el paquete tecnologico. Se comprueba que la mas eficiente es la muestra a la que se le anadio un 10% de aditivo, porque absorbe mayor cantidad de agua y es mas resistente a la compresion, por lo tanto el ladrillo presenta una vida util mas larga.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.025
GPT teacher head0.286
Teacher spread0.261 · 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