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Record W1182956442 · doi:10.1520/stp1580-eb

Bearing Steel Technologies: 10th Volume, Advances in Steel Technologies for Rolling Bearings

2014· book· en· W1182956442 on OpenAlexaboutno aff
John M. Beswick

Bibliographic record

Venuenot available
Typebook
Languageen
FieldMaterials Science
TopicMetal Alloys Wear and Properties
Canadian institutionsnot available
Fundersnot available
KeywordsBearing (navigation)SteelmakingEngineeringMetallurgyMechanical engineeringMaterials scienceComputer science

Abstract

fetched live from OpenAlex

Description You’ll gain unique insights on rolling bearing steel technologies with this collection of 31 papers from symposium presentations. This publication introduces revised ideas on bearing steel steelmaking and industries micro cleanliness specification requirements, rating methods and limits for re-melt bearing steels. The papers in this book, from the 10th ASTM International Symposium on Bearing Steel Technologies held in Toronto, Ontario, Canada, May 6-8, 2014 are a result of presentations under these section headings: &#150 Advances in Bearing Steel Steelmaking and Processing&#150 Steel Cleanliness Knowledge and Relationships with Rolling Bearing Functional Properties&#150 New Bearing Steels for Improved Functional Properties&#150 Softening and Hardening Heat Treatment Physical Metallurgy&#150 Rolling Bearing Metallurgy for Wind Energy Applications&#150 Developments in Fatigue and Rolling Contact Fatigue Testing This resource adds to the legacy of ASTM International’s support to the bearing steel industry, the latest Special Technical Publication in a long line of predecessors, between 1974 and 2013. Click the gray “Other Books in this Series” button above for a complete list.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.841
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.240
Teacher spread0.220 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations27
Published2014
Admission routes1
Has abstractyes

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