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Record W4315565266 · doi:10.31031/amms.2021.08.000680

The Effects of Quenching Temperature on Mechanical Strength in Micro Alloyed Steel with Boron

2021· article· en· W4315565266 on OpenAlexaboutno aff
André Itman Filho

Bibliographic record

VenueAspects in Mining & Mineral Science · 2021
Typearticle
Languageen
FieldMaterials Science
TopicMetal Alloys Wear and Properties
Canadian institutionsnot available
FundersArcelorMittal
KeywordsQuenching (fluorescence)BoronMetallurgyPhysicsMaterials scienceEnvironmental scienceNuclear physics

Abstract

fetched live from OpenAlex

Aspects in Mining & Mineral Science The Effects of Quenching Temperature on Mechanical Strength in Micro Alloyed Steel with Boron Filho AI1*, Monteiro de Souza W2, Vilarim da Silva R1, Ribeiro Martins JB2 and da Cruz Lima LX2 1Federal Institute of Espírito Santo, University in Vitória, Brazil 2Global R&D South America-ArcelorMittal, Canada *Corresponding author: André Itman Filho, Federal Institute of Espírito Santo, University in Vitória, Espírito Santo, Brazil Submission: August 17, 2020;Published: December 06, 2021 DOI: 10.31031/AMMS.2021.08.000680 ISSN 2578-0255Volume8 Issue1

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.233
Teacher spread0.226 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations0
Published2021
Admission routes1
Has abstractyes

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