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Record W1528551037

Currently Reliable Property Values And Simple Equation For Pure Hydrofluorocarbons

2002· article· en· W1528551037 on OpenAlexaboutno aff
Haruki Sato, Noboru Kagawa, Yoshifumi Takaishi, Y. Higashi, Chiaki Yokoyama, Kenichi Fujii, Kazuhiko MURAKAMI, M. J. Assael, M. Noguchi, Hirone Tanabe, M. Fukushima, Katsuya Takigawa

Bibliographic record

VenuePurdue e-Pubs (Purdue University System) · 2002
Typearticle
Languageen
FieldDecision Sciences
TopicScientific Measurement and Uncertainty Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsRefrigerantThermodynamicsHeat capacityHelmholtz free energyChemistryEquation of stateIdeal gasThermal conductivityVirial coefficientPhysicsHeat exchanger
DOInot available

Abstract

fetched live from OpenAlex

In 1994, the JSRAE published JARef, Vol. 1, 'HFCs and HCFCs,' JAR Thermodynamic Tables, Vol. 1, Version 1.0, which provides the thermodynamic properties of 12 refrigerants by a printed form and a software.At the time reliable experimental data for new alternative refrigerants were qualitatively and quantitatively limited, some of the properties had to be estimated.Many reliable experimental data and theoretical information have been accumulated till present especially for pure hydrofluorocarbons (HFCs), e.g., the ideal gas heat capacity was derived experimentally and theoretically with an uncertainty of ±0.1 %, and many transport properties were reported.In addition, the new molar gas constant and molar masses were defined recently as the international standards.The review of the thermodynamic and transport properties is conducted mainly for HFCs in the JSRAE.Recommended critical parameters and simple equations of the vapor pressures, saturated liquid density, virial coefficients, surface tension, viscosity, and thermal conductivity are introduced and compared with selected experimental data.The information on material compatibility is also provided.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0020.005
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0210.027

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 head0.210
GPT teacher head0.311
Teacher spread0.101 · 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 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

Citations5
Published2002
Admission routes1
Has abstractyes

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