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Record W2078976743 · doi:10.1063/1.4754540

Partial molar quantity of an intensive mother function

2012· article· en· W2078976743 on OpenAlex
Yoshikata Koga

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

VenueThe Journal of Chemical Physics · 2012
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComponent (thermodynamics)MolarMolar absorptivityFunction (biology)Aqueous solutionMeasure (data warehouse)Limit (mathematics)ThermodynamicsMathematicsChemistryPhysical chemistryMathematical analysisPhysicsComputer scienceQuantum mechanicsDentistry

Abstract

fetched live from OpenAlex

A new formal definition is given to the partial molar quantity of a component i for an intensive mother function. We perturb the entire system by increasing the amount of the target component by δn(i) keeping others constant and measure the response of the system in terms of an intensive mother function, Φ, δΦ. We then define its partial molar quantity of the ith component, φ(i), as φ(i) = [δΦ∕{δn(i)∕(N + δn(i))]] in the limit of δn(i) → 0. Thus, the physical meaning of φ(i) is the effect of the ith component (only) on Φ of the system, just as the partial molar quantity for an extensive mother function. This new formal definition could serve as a starting point for statistical mechanics development of a microscopic connection to the third derivatives of G. We show a number of examples such as an enthalpic inter-solute interaction, a partial molar S-V cross fluctuation density of solute, their analogues, and an excess partial molar absorptivity of solute. These examples were used for studying the nature of aqueous solutions without realizing their formal definition and were instrumental in advancing our understandings.

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 score0.013
Threshold uncertainty score0.282

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 head0.016
GPT teacher head0.231
Teacher spread0.215 · 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