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Record W2122639052 · doi:10.1016/j.stam.2005.10.002

Thermodynamic modeling of the Ca–Ni system

2006· article· en· W2122639052 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

VenueScience and Technology of Advanced Materials · 2006
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsConcordia University
Fundersnot available
KeywordsThermodynamicsConsistency (knowledge bases)Material propertiesThermodynamic processPhase diagramCALPHADMaterials scienceTernary operationThermodynamic systemPhase (matter)ChemistryComputer sciencePhysics

Abstract

fetched live from OpenAlex

An interest in the binary Ca–Ni system has occurred due to the possibility of using this alloy system in hydrogen storage for fuel cell applications. A coherent database of thermodynamic properties pertaining to Ca–Ni will allow for easy access to a myriad of information. Using the published phase diagram and thermodynamic data of Ca–Ni from different sources, an optimized thermodynamic model is obtained. The model provides a means for a variety of other thermodynamic properties, for which no experimental data exists, to be predicted. The Ca–Ni binary system is essential in any further development of ternary or higher order systems based on these elements. Consistency between calculated and published experimental thermodynamic values enforces the legitimacy of the findings.

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)0.001
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 score0.023
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.006
GPT teacher head0.216
Teacher spread0.210 · 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