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Record W4211030247 · doi:10.1002/ces2.10121

Refractories from fire to fire

2022· article· en· W4211030247 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

VenueInternational Journal of Ceramic Engineering & Science · 2022
Typearticle
Languageen
FieldEngineering
TopicDiverse Industrial Engineering Technologies
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsCrucible (geodemography)Architectural engineeringFire safetyBusinessEngineeringForensic engineeringConstruction engineeringRisk analysis (engineering)Sociology

Abstract

fetched live from OpenAlex

Abstract A brief description of the evolution of the making and usage of crucible and heat containing linings to the development of today eco‐designed refractories materials is offered to illustrate the gigantic steps the refractory constituency has accomplished. Eco for Ecological, Economical, Eco‐Energetical. That is fire to FIRE. To prolong Professor T. Planje's vision, the research and education needs are to be secured. This will require unified efforts of all stakeholders of our brotherhood. A brief description of FIRE's role for such a purpose is hence recalled, insisting on the implementation of the conception, design, implementation, organization approach to support the refractory industry needs for young innovators.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

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

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 head0.230
Teacher spread0.218 · 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