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Record W1972810406 · doi:10.1139/v09-008

An implementation of the conductor-like screening model of solvation within the Amsterdam density functional package — Part II. COSMO for real solvents

2009· article· en· W1972810406 on OpenAlexafffundvenue
Cory C. Pye, Tom Ziegler, Erik van Lenthe, Jaap N. Louwen

Bibliographic record

VenueCanadian Journal of Chemistry · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsSaint Mary's UniversityUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryCOSMO-RSConductorSurface (topology)SolvationDensity functional theoryDiscretizationSolventThermodynamicsHydrogen bondBinary numberComputational chemistryPhysical chemistryMoleculeIonic liquidOrganic chemistryPhysicsGeometryMathematical analysis

Abstract

fetched live from OpenAlex

The conductor-like screening model for real solvents (COSMO-RS) has been implemented in the Amsterdam density functional program. The surface building routines now allow for finer discretization of the GEPOL-based surfaces, and an additional surface due to Delley has been incorporated. One problem identified is the need for accurate density fitting in the region of the surface points. Another difficulty is the need to explicitly state for which atoms the hydrogen-bonding term applies. We present some vapour–liquid equilibrium curves of binary solvent systems to demonstrate the utility of the method.

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)0.001
metaresearch head score (Gemma)0.002
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: Methods · Consensus signal: Methods
Teacher disagreement score0.034
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0340.006

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 head0.028
GPT teacher head0.273
Teacher spread0.245 · 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
GenreMethods

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

Citations254
Published2009
Admission routes3
Has abstractyes

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