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Record W4389130491 · doi:10.5151/2594-5327-0435

INFLUÊNCIA DA SEVERIDADE DE RESFRIAMENTO NA FASE DE CONVECÇÃO DE ÓLEOS MINERAIS PARA TÊMPERA

2007· article· pt· W4389130491 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

VenueABM Proceedings · 2007
Typearticle
Languagept
FieldMaterials Science
TopicMaterial Selection and Properties
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

PDF | Os óleos minerais são amplamente utilizados nos processo de tratamento térmico, abrangendo uma ampla faixa de severidade de têmpera. Contudo, a estes óleos são incorporados aditivos com a finalidade de aumentar a taxa de resfriamento na fase vapor, na fase de convecção ou em ambas. Estes aditivos, visando aumento da taxa de resfriamento, a depender da fase em que cada um atua, têm forte influência nos resultados dos tratamentos térmicos. O objetivo do presente trabalho é estudar a influência gerada em peças fabricadas em aço SAE 1050 temperadas em óleos sem e com aditivos, na fase de convecção. Após a têmpera, foram avaliadas as microestruturas obtidas nas diversas peças tratadas, bem como as durezas, após os tratamentos térmicos, provenientes das diferentes severidades de tempera.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
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 score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.031
GPT teacher head0.290
Teacher spread0.259 · 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