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Record W1589436696 · doi:10.1002/chin.201522015

ChemInform Abstract: Many Metals Make the Cut: Quaternary Rare‐Earth Germanides RE<sub>4</sub>M<sub>2</sub>InGe<sub>4</sub> (M: Fe, Co, Ni, Ru, Rh, Ir) and RE<sub>4</sub>RhInGe<sub>4</sub> Derived from Excision of Slabs in RE<sub>2</sub>InGe<sub>2</sub>.

2015· article· en· W1589436696 on OpenAlexaff
Anton O. Oliynyk, Stanislav S. Stoyko, Arthur Mar

Bibliographic record

VenueChemInform · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRare-earth and actinide compounds
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChemistryArc meltingRare earthAnnealing (glass)QuaternaryCrystallographyInorganic chemistryMineralogyMetallurgyGeologyMaterials science

Abstract

fetched live from OpenAlex

Abstract Arc‐melting and annealing of the elements (evacuated silica tubes, 800 °C, 1 week) is used to prepare ≈50 new quaternary germanides of the series Ln 4 M 2 InGe 4 (Ln: Ce—Lu except Eu and Yb; M: Fe, Co, Ni, Ru, Rh, Ir) and a different but closely related series Ln 4 RhInGe 4 .

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), 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 score0.244
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0060.006
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0020.006
Open science0.0050.003
Research integrity0.0030.006
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 head0.021
GPT teacher head0.242
Teacher spread0.221 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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