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Record W2075756365 · doi:10.5539/jgg.v3n1p132

Geology and Application of Clays Used in Castellon Ceramic Cluster (NE, Spain)

2011· article· en· W2075756365 on OpenAlexvenueno aff
Sergi Meseguer, Manuel Miguel Jordán Vidal, Francisco Pardo Fabregat, T. Sanfeliu

Bibliographic record

VenueJournal of Geography and Geology · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsnot available
Fundersnot available
KeywordsCeramicCretaceousGeologyShrinkageProvenanceMineralogyFlexural strengthKaoliniteClay mineralsGeochemistryMaterials scienceComposite materialPaleontology

Abstract

fetched live from OpenAlex

The general characteristics and technological properties of ceramic clays used in the Spanish ceramic cluster (Castellón province), have been investigated. Red clays for ceramic wall tiles and floor tiles are mainly extracted in the Valencian Community, in Villar del Arzobispo, La Yesa, Chulilla, Alcora (Más Vell) and San Juan de Moró, although there is a small proportion coming from Teruel province. An important group of clay raw materials used in the ceramic cluster of Castellón, in Spain, occurs in Permo-Triassic, Cretaceous and Tertiary sediments. These clays are intended for applications in stoneware. Clays were analyzed by X-ray diffraction, chemical composition, particle size distribution, thermal analysis and plasticity. Ceramic bodies were fired at temperatures varying from 850 to 1150ºC to determine the linear shrinkage, water absorption and flexural rupture strength.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.121
Threshold uncertainty score0.241

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.196
Teacher spread0.184 · 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

Citations9
Published2011
Admission routes1
Has abstractyes

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