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Record W7128927826 · doi:10.5281/zenodo.18643323

Tipos de Pintura en Polvo y sus aditivos

2023· article· es· W7128927826 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typearticle
Languagees
FieldMaterials Science
TopicMaterial Selection and Properties
Canadian institutionsInnovation, Science and Economic Development Canada
Fundersnot available
KeywordsConceptual architectureAutomatic identification and data captureContext (archaeology)

Abstract

fetched live from OpenAlex

La pintura en polvo es una tecnología de recubrimiento ampliamente utilizada en la industria debido a su eficiencia, bajo impacto ambiental y excelentes propiedades mecánicas y anticorrosivas. Este artículo presenta una revisión técnica de los principales tipos de pintura en polvo, incluyendo sistemas termoestables y termoplásticos, sus características físico-químicas, aplicaciones industriales y criterios de selección. Se analizan las ventajas y limitaciones de cada sistema, así como los parámetros críticos de proceso que influyen en la calidad del recubrimiento final.

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 categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0030.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0770.104

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 head0.036
GPT teacher head0.259
Teacher spread0.223 · 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