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Record W3185419551 · doi:10.1615/978-1-56700-203-4.0

Thermal Radiation Fundamentals

2004· book· ca· W3185419551 on OpenAlexafffund
K.G.T. Hollands

Bibliographic record

Venuenot available
Typebook
Languageca
FieldEngineering
TopicRadiative Heat Transfer Studies
Canadian institutionsUniversity of Waterloo
FundersUniversity of WaterlooUniversity of TorontoCommonwealth Scientific and Industrial Research OrganisationAustralian GovernmentMcGill University
KeywordsThermal radiationRadiationHeat transferResource (disambiguation)SoftwareThermalMechanical engineeringEngineeringProcess engineeringComputer scienceNuclear engineeringMaterials sciencePhysicsOpticsThermodynamicsOperating system

Abstract

fetched live from OpenAlex

This new publication is intended primarily as the chief resource for a graduate course in thermal radiation heat transfer in engineering. The book should also be very useful for researchers and designers of heat transfer equipment. In contrast to existing books, the text takes a holistic view, treating radiation as a volumetric phenomenon, and then treating surface radiation as a special case. A CD containing a popular engineering software package is included for the expeditious solving of radiation problems, and the smoothed-band model is introduced for handling gaseous exchange. 341 pages, © 2004

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.075
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0750.035

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 head0.224
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations24
Published2004
Admission routes2
Has abstractyes

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