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Record W2014737396 · doi:10.1063/1.481366

Shannon information entropies of molecules and functional groups in the self-consistent reaction field

2000· article· en· W2014737396 on OpenAlexafffund
Minhhuy Hô, Bradford Clark, Vedene H. Smith, Donald F. Weaver, Carlo Gatti, Robin P. Sagar, Rodolfo O. Esquivel

Bibliographic record

VenueThe Journal of Chemical Physics · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSolvationEntropic uncertaintyMoleculeChemistryPosition and momentum spaceEntropy (arrow of time)DielectricDensity functional theoryThermodynamicsComputational chemistryChemical physicsPhysicsQuantum mechanicsOrganic chemistryQuantum

Abstract

fetched live from OpenAlex

The Shannon information entropies in position and momentum space of H2O, HCN, HOOH, NH3, CH2O2, CH3NH2, CH3OH, CH3CHO, CH3OCH3, CH3COCH3, NH2OH, NH2COH, and CH3NHCOH at the RHF/6-31++G** level in vacuo and in the Onsager aqueous field, were calculated and correlated with various properties. The local entropy of atoms and functional groups in these molecules were also investigated. The results show that the response of the electron density of the groups to solvation is such as to minimize electron transfer to or from the group, and its associated entropy change, which implies a stability of the functional groups within the molecular framework. The effect of solvent fields with increasing dielectric constant on the Shannon entropy of water was studied. The relationships between position and momentum densities through the Shannon entropy are discussed.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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 designSimulation or modeling
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

Citations23
Published2000
Admission routes2
Has abstractyes

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