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Record W4230920582 · doi:10.1080/0026897021000018376

Transport properties of He-CO mixtures

2002· article· en· W4230920582 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

VenueMolecular Physics · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum, superfluid, helium dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
Keywordsvan der Waals forceIsotropyChemistryAb initioRelaxation (psychology)ThermodynamicsKinetic energyThermal conductivityAnisotropyDiffusionRotor (electric)Ab initio quantum chemistry methodsThermal diffusivityPhysicsClassical mechanicsQuantum mechanicsMolecule

Abstract

fetched live from OpenAlex

Classical trajectory calculations for the collision of He with CO have been carried out, with CO treated as a rigid rotor, for two similar potential energy surfaces, one obtained from high level ab initio calculations and the other from a semi-empirical fit to the infrared spectra of He-CO van der Waals dimers. Second-approximation corrections to the kinetic-theory expressions have been employed in order to carry out comparisons with the most accurate and precise diffusion, shear viscosity, thermal conductivity and thermal diffusion data available. Rotational relaxation data are also considered. Both potentials are found to have good predictive power for these transport and relaxation properties, giving on the whole very good agreement with the experimental data. This indicates that the isotropic components of the two potential surfaces are very similar, and that the anisotropies are not significantly different. It is suggested that the measurement of additional relaxation phenomena in He-CO mixtures could allow a clearer distinction to be made between the two potential surfaces.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.060
Threshold uncertainty score0.779

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)0.0000.000

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 head0.012
GPT teacher head0.204
Teacher spread0.192 · 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