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Record W2019718060 · doi:10.1515/htmp.2004.23.5-6.405

Thermodynamic Analysis of the Ca-C-N System

2004· article· en· W2019718060 on OpenAlexaff
C. A. Pickles, J. M. Toguri

Bibliographic record

VenueHigh Temperature Materials and Processes · 2004
Typearticle
Languageen
FieldEngineering
TopicAdvanced materials and composites
Canadian institutionsUniversity of TorontoQueen's University
Fundersnot available
KeywordsThermodynamicsChemistryMaterials sciencePhysics

Abstract

fetched live from OpenAlex

In the calcium-carbon-nitrogen (Ca-C-N) system there are two known ternary compounds: calcium cyanamide (CaCN 2 ) and calcium cyanide (Ca(CN) 2 ).Calcium cyanamide is commercially produced by the nitrogenation of calcium carbide, while calcium cyanide is manufactured by the reaction of calcium cyanamide with carbon in a fused salt melt.In addition to the industrial production of these compounds, it has also been proposed that they can act as intermediate species in natural diamond formation.There is very little information in the literature regarding the thermodynamic properties of the Ca-C-N system and in particular calcium cyanide.Since this compound apparently only forms as a complex in a molten salt under very specific conditions, then it has proven difficult to determine its thermodynamic properties.Previously, the authors have determined these properties and in the present research, this thermodynamic information was utilized to develop predominance area diagrams for the Ca-C-N system at various temperatures.The application of this thermodynamic information leads to an improved understanding of the mechanism of formation of calcium cyanide and also the factors which govern the optimization of the industrial production method.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.002
GPT teacher head0.167
Teacher spread0.165 · 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 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

Citations2
Published2004
Admission routes1
Has abstractyes

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