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Record W2153376925 · doi:10.1111/jace.13106

Critical Evaluation and Thermodynamic Modeling of the <scp> <scp>Mg</scp> </scp> – <scp> <scp>Mn</scp> </scp> – <scp> <scp>O</scp> </scp> ( <scp> <scp>MgO</scp> </scp> – <scp> <scp>MnO</scp> </scp> – <scp> <scp>MnO</scp> </scp> <sub>2</sub> ) System

2014· article· en· W2153376925 on OpenAlexafffund
Sourav Kumar Panda, In‐Ho Jung

Bibliographic record

VenueJournal of the American Ceramic Society · 2014
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsChemistryPhase diagramThermodynamicsGibbs free energyPhase (matter)Physics

Abstract

fetched live from OpenAlex

All phase diagram and thermodynamic data of the MgO – MnO and MgO – MnO – MnO 2 systems were critically evaluated and thermodynamically optimized to obtain one set of thermodynamic model parameters. The MgMn 2 O 4 – Mn 3 O 4 spinel solutions were modeled with two sublattices Compound Energy Formalism by considering the cation distribution between tetrahedral and octahedral sites. The slag phase and monoxide solid solution were also described using the Modified Quasichemical Model and Bragg–Williams random mixing model, respectively. The optimized thermodynamic model parameters can be used with a Gibbs energy minimization routine to calculate the phase diagram and thermodynamic properties of the system at oxygen partial pressures between metal saturation and 1 atm.

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)0.029
metaresearch head score (Gemma)0.139
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Open science, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0290.139
Meta-epidemiology (narrow)0.0200.019
Meta-epidemiology (broad)0.0230.019
Bibliometrics0.0070.021
Science and technology studies0.0100.012
Scholarly communication0.0090.011
Open science0.0260.011
Research integrity0.0120.028
Insufficient payload (model declined to judge)0.0000.002

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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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 designSimulation or modeling
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

Citations28
Published2014
Admission routes2
Has abstractyes

Explore more

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