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Record W2074496579 · doi:10.1021/jp0312722

“Icebergs” or No “Icebergs” in Aqueous Alcohols?:  Composition-Dependent Mixing Schemes

2004· article· en· W2074496579 on OpenAlex
Yoshikata Koga, Keiko Nishikawa, Peter Westh

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 Physical Chemistry A · 2004
Typearticle
Languageen
FieldEngineering
TopicPhase Equilibria and Thermodynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsIcebergChemistryPercolation (cognitive psychology)Mixing (physics)Hydrogen bondRange (aeronautics)Chemical physicsMoleculePercolation thresholdAqueous solutionThermodynamicsStatistical physicsPhysical chemistryPhysicsMaterials scienceSea iceOrganic chemistryMeteorology

Abstract

fetched live from OpenAlex

The classical concept of “iceberg formation” is modified by our recent thermodynamic studies. The local enhancement of the hydrogen-bond network of H 2 O in the immediate vicinity of small nonelectrolyte solutes (i.e., the “iceberg formation”) is still correct. However, the hydrogen-bond probability of bulk H 2 O away from solutes is reduced progressively, as the solute composition increases. When the hydrogen-bond probability of bulk H 2 O is reduced to the bond percolation threshold of the hexagonal ice connectivity, the hydrogen-bond percolation is lost and a qualitatively different mixing scheme sets in, whereby the solution consists of two kinds of clusters. In the solute-rich region, solute molecules form clusters of its own kind. Thus, the “iceberg formation” is basically correct within a narrow range in the H 2 O-rich region for small nonelectrolyte solutes. Thus, reference made to the “iceberg” concept in recent literatures should be clarified in terms of the concentration range and the size of solute in question.

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 score0.054
Threshold uncertainty score0.506

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 integrity0.0000.001
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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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