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Record W4385811632 · doi:10.1115/1.862tsc_fm

Front Matter

2023· paratext· en· W4385811632 on OpenAlexafffund
Yuri S. Muzychka, M. M. Yovanovich

Bibliographic record

Venuenot available
Typeparatext
Languageen
FieldEngineering
TopicAdhesion, Friction, and Surface Interactions
Canadian institutionsUniversity of WaterlooMemorial University of Newfoundland
FundersUniversité de PoitiersUniversidade Federal de Santa CatarinaMemorial University of NewfoundlandCollege of Engineering, Michigan State UniversitySimon Fraser UniversityUniversity of WaterlooStrongMichigan State UniversityMassachusetts Institute of Technology
KeywordsThermal contact conductanceTribologyOrthotropic materialIconMechanical engineeringThermalFront (military)Contact resistanceThermal resistanceMaterials scienceNanotechnologyEngineeringPhysicsComputer scienceStructural engineeringThermodynamics

Abstract

fetched live from OpenAlex

This frontmatter contains the Wiley-ASME Press Series, Contents, About the Authors, Preface, Acknowledgements, Nomenclature. It is available for access by clicking on the PDF icon below. eBook keywords: thermal spreading and contact resistance; thermal spreading resistance; contact conductance; mass transfer; super-hydrophobic surfaces; tribology applications; orthotropic systems; thermal management applications; circular flux-tubes; disc spreaders.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.598
Threshold uncertainty score0.797

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.2540.852

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 head0.013
GPT teacher head0.240
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2023
Admission routes2
Has abstractyes

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