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Record W2604960260 · doi:10.1111/jace.14827

Experimental investigation of the LiAlSi <sub>2</sub> O <sub>6</sub> ‐MgSiO <sub>3</sub> and LiAlSi <sub>2</sub> O <sub>6</sub> ‐CaMgSi <sub>2</sub> O <sub>6</sub> isopleths at 1 atm

2017· article· en· W2604960260 on OpenAlexafffund
Bikram Konar, Pierre Hudon, In‐Ho Jung

Bibliographic record

VenueJournal of the American Ceramic Society · 2017
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaRick Hansen Institute
KeywordsDiopsideSolubilityEutectic systemPhase diagramSolid solutionEnstatiteMicrocrystallineElectron microprobeSolid solubilityPhase (matter)ThermodynamicsDifferential scanning calorimetryMineralogyChemistryMicroanalysisAnalytical Chemistry (journal)Materials scienceCrystallographyPhysical chemistryMicrostructurePhysicsMeteoriteChromatography

Abstract

fetched live from OpenAlex

Abstract The phase diagrams of the LiAlSi 2 O 6 ‐MgSiO 3 and LiAlSi 2 O 6 ‐CaMgSi 2 O 6 isopleths were experimentally investigated at 1 atm using the quenching method and differential scanning calorimetry and the phases produced were characterized with the help of X‐ray diffraction and electron probe microanalysis. With the help of thermodynamic optimization, the phase diagrams of both systems were more accurately reported. No detectable solubility of Li 2 O in diopside and enstatite was found. However, both systems are not simple binary eutectic systems because their phase equilibria are somewhat complex due to the presence of some β‐spodumene solid solution. In the β‐spodumene solid solution, no notable solubility of MgO and CaO was detected; evidence of significant solubility of SiO 2 was confirmed.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
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 score0.025
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0060.005
Bibliometrics0.0010.003
Science and technology studies0.0040.006
Scholarly communication0.0020.003
Open science0.0060.003
Research integrity0.0020.006
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 head0.224
Teacher spread0.213 · 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; both teacher heads agree on what is shown here.

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

Citations10
Published2017
Admission routes2
Has abstractyes

Explore more

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