MétaCan
Menu
Back to cohort

Ternary Intermetallic Compounds across the Mg-NiY Line at 673 K

2012· article· en· W2013210022 on OpenAlexaff
Mohammad Mezbahul-Islam, Dmytro Kevorkov, Elhachmi Essadiqi, Mamoun Medraj

Bibliographic record

VenueMaterials science forum · 2012
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgical and Alloy Processes
Canadian institutionsConcordia University
Fundersnot available
KeywordsTernary operationIntermetallicElectron microprobeIsothermal processPhase (matter)Materials scienceSolubilityChemistryNuclear chemistryMetallurgyPhysicsAnalytical Chemistry (journal)AlloyPhysical chemistryThermodynamicsComputer scienceChromatography

Abstract

fetched live from OpenAlex

The phase relationship of the Mg-Ni-Y system along the Mg-NiY line has been investigated using electron probe micro analysis (EPMA) at 673 K. Three two phase regions (Mg2Y+τ6, Mg2Y+ MgNiY(τ3), MgY+Mg3Ni2Y4(τ1)) and two three phase regions (Mg2Y+Mg3Ni2Y4(τ1)+ MgNi2Y2(τ2) and NiY+Mg3Ni2Y4(τ1)+MgNi2Y2(τ2)) have been identified. One new ternary compound Mg5NiY(τ5) was found and reported for the first time. Ternary solubility of the Mg8-13NiY(τ6) compound has been established which extends from 77.10 at.% Mg until 86.77 at.% Mg along the Mg-NiY section. Solubility of the third element in the binary compounds, NiY, Mg2Y and MgY has also been determined. Keywords: Mg alloy, phase identification, phase equilibrium, isothermal section.

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 score0.003
Threshold uncertainty score0.006

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.300
Teacher spread0.272 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueMaterials science forumSame topicMetallurgical and Alloy ProcessesFrench-language works237,207