MétaCan
Menu
Back to cohort
Record W1591699360 · doi:10.1002/9781118540350.ch14

Computer Simulations of Liquid Silica: Water‐Like Thermodynamic and Dynamic Anomalies, and the Evidence for Polyamorphism

2013· other· en· W1591699360 on OpenAlex

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

VenueAdvances in chemical physics · 2013
Typeother
Languageen
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsSt. Francis Xavier UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsPolyamorphismTridymiteTetrahedronAmorphous silicaMolecular dynamicsProperties of waterAmorphous solidChemical physicsLiquid waterPhase (matter)Amorphous iceMaterials scienceThermodynamicsEnthalpyChemistryCristobaliteMineralogyCrystallographyChemical engineeringComputational chemistryOrganic chemistryQuartz

Abstract

fetched live from OpenAlex

The qualitative similarities between water and silica have long been appreciated [1,2]. The molecular structure of both substances is dominated by tetrahedral bonding arrangements under ambient pressure, in both the liquid and the solid states. As a consequence, several of the low-pressure ice phases have isomorphic analogs among the crystalline phases of silica (e.g., ice Ih and tridymite). The similarities between water and silica also extend to the properties of the liquid and amorphous solid forms. Water and silica are both members of a small set of substances that exhibit a density maximum in the liquid phase [1,2].

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.838
Threshold uncertainty score0.551

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.265
Teacher spread0.251 · 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