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Record W2113992972 · doi:10.2113/gscanmin.43.5.1643

THE STRUCTURE OF LITHIUM-CONTAINING SILICATE AND GERMANATE GLASSES

2005· article· en· W2113992972 on OpenAlexafffundvenue
L. G. Soltay, Grant S. Henderson

Bibliographic record

VenueThe Canadian Mineralogist · 2005
Typearticle
Languageen
FieldMaterials Science
TopicGlass properties and applications
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGermanateSilicateLithium (medication)Silicate glassMineralogyMaterials scienceGeologyChemistryGeochemistryInorganic chemistryCrystallographyIonOrganic chemistry

Abstract

fetched live from OpenAlex

L'addition d'oxydes d'alcalins a la composition d'un verre silicate cause la disruption de la trame siliceuse et la formation d'atomes d'oxygene non chevauchants, rattaches a seulement un atome de Si, et donc des especes Q n . Les compositions de verre siliceux lithiniferes se comportent differemment des verres contenant un autre alcalin. L'addition de Li 2 O aux compositions a base de silicate et de germanate genere des groupes Q 2 a faible teneur en Li. De plus, la formation preferentielle d'un tel groupe est encore plus marquee pour les compositions a base de germanate que pour celles a base de silicate. Nous preconisons un mecanisme impliquant la liaison du Li a une paire d'atomes d'oxygene non chevauchants, faisant donc partie de groupes adjacents de tetraedres Q 2 , assurant ainsi une coordinence quatre du Li, dans un agencement planaire carre.

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)0.000
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

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 integrity0.0000.000
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 head0.014
GPT teacher head0.228
Teacher spread0.214 · 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

Citations36
Published2005
Admission routes3
Has abstractyes

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