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Record W2953629567

Structure and Properties of Gallium-Rich Sodium Germano-Gallate Glasses

2018· article· en· W2953629567 on OpenAlexaff
T. Skopak, Scott Kroeker, Kirill Levin, Marc Dussauze, Raphaël Méreau, Yannick Ledemi, Thierry Cardinal, Evelyne Fargin, Younès Messaddeq

Bibliographic record

VenueCorpus Université Laval (Université Laval) · 2018
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsUniversity of ManitobaUniversité Laval
Fundersnot available
KeywordsGalliumChemistryGallateTernary operationRaman spectroscopyCoordination numberGlass transitionInfrared spectroscopyAnalytical Chemistry (journal)CrystallographyInorganic chemistryPhysical chemistryNuclear chemistryOrganic chemistryOpticsIon
DOInot available

Abstract

fetched live from OpenAlex

Glass compositions in the gallium-rich region of the ternary GaO3/2–GeO2–NaO1/2 vitreous system are studied as a function of the Na/Ga cationic ratio (ranging from 1.30 to 1.61) for a fixed GeO2 content. Glass structures are investigated by 71Ga magic angle spinning nuclear magnetic resonance, infrared, and Raman spectroscopies, and the thermal, optical, and physical properties are characterized. Vibrational spectra are interpreted with the help of density functional theory calculations. Gallium oxide generally enters the germania network in fourfold coordination, however, for a Na/Ga ratio below unity, gallium cations tend to charge balance with the formation of five- or six-fold coordination units. When the amount of sodium is greater than gallium, nonbridging oxygens are formed preferably on germanate tetrahedral units. These structural descriptions are used to understand the evolution of glass properties such as glass transition temperature, density, and refractive index.

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 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 score0.026
Threshold uncertainty score0.988

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.184
Teacher spread0.173 · 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 teacher head, 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

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