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Record W2133158153 · doi:10.5539/ijc.v2n2p250

Densities, Viscosities and Refractive Indices of n- Butanol + Allyl Chloride Mixture at 298K

2010· article· en· W2133158153 on OpenAlexvenueno aff
Aruna P. Maharolkar, Y.S. Sudke, S. P. Kamble, Anil L. Tidar, A. G. Murugkar, Shailaja Patil, P. W. Khirade, S. C. Mehrotra

Bibliographic record

VenueInternational Journal of Chemistry · 2010
Typearticle
Languageen
FieldChemical Engineering
TopicThermodynamic properties of mixtures
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryRefractive indexIntermolecular forceViscosityMolar volumeMolarRefractionThermodynamicsDielectricPermittivityAnalytical Chemistry (journal)ChlorideOrganic chemistryMoleculeOptics

Abstract

fetched live from OpenAlex

The density ?, viscosity ?, refractive index n and dielectric constant ?s of binary mixture of Allyl Chloride (AC)with n-Butanol including those of the pure liquids, were measured over the complete composition range at 298K.The experimental data is used to calculate excess molar volumes (vE), excess permittivity (?sE), excess viscosity(?E), excess refractive index, molar refraction, excess molar polarization and Dunstan’s constant. The variationsof these parameters with composition and the effect of bonding in the binary mixture are discussed from thepoint of view of intermolecular interactions in these mixtures. The positive value of excess molar volume (vE ) isattributed to the breaking of H-bonded associated species formed between unlike molecule at 298K.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.003
GPT teacher head0.212
Teacher spread0.209 · 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 designBench or experimental
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

Citations16
Published2010
Admission routes1
Has abstractyes

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