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Record W2107194264 · doi:10.5539/apr.v4n4p149

The Thermodynamic Models of Molecular Chemical Compound Distribution in the Giant Molecular Clouds Medium

2012· article· en· W2107194264 on OpenAlexvenueno aff
Mihail Jur'evich Dolomatov, N. A. Zhuravleva

Bibliographic record

VenueApplied Physics Research · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysics and Star Formation Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHelmholtz free energyNucleic acidMoleculeThermodynamicsAmino acidOrganic moleculesEnthalpyDistribution (mathematics)NucleobaseComputational chemistryChemistryMaterials scienceOrganic chemistryPhysicsDNA

Abstract

fetched live from OpenAlex

The new equilibrium thermodynamic distribution model of organic and bio-organic substances in giant molecular clouds, including simple organic molecules and amino acids and nucleic acid components was developed. The model basis comprises of the equilibrium composition distribution functions construction by the standard enthalpy of formation and free energy (Helmholtz energy) of formation, which are calculated by means of standard methods. Based on these models the organic molecules resources forecast within the Metagalaxy was performed. The significant amount of biologically active substances existence possibility is indicated: amino acids, nucleobases.

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)0.000
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.030
GPT teacher head0.312
Teacher spread0.282 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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