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Record W1657330781 · doi:10.1002/chin.201250002

ChemInform Abstract: Gd<sub>4</sub>Ge<sub>3‐x</sub>Pn<sub>x</sub> (Pn: P, Sb, Bi, x = 0.5—3): Stabilizing the Nonexisting Gd<sub>4</sub>Ge<sub>3</sub> Binary Through Valence Electron Concentration. Electronic and Magnetic Properties of Gd<sub>4</sub>Ge<sub>3‐x</sub>Pn<sub>x</sub>.

2012· article· en· W1657330781 on OpenAlexaff
Yan Yin Janice Cheung, Volodymyr Svitlyk, Yurij Mozharivskyj

Bibliographic record

VenueChemInform · 2012
Typearticle
Languageen
FieldMaterials Science
TopicMagnetic and transport properties of perovskites and related materials
Canadian institutionsMcMaster University
Fundersnot available
KeywordsChemistryArc meltingCrystallographyGermaniumSiliconMicrostructure

Abstract

fetched live from OpenAlex

Abstract The title compounds are prepared by arc melting of the elements and characterized by powder and single crystal XRD, magnetic measurements, and TB‐LMTO electronic band structure calculations.

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)0.006
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), Science and technology studies, 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 score0.064
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0060.005
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.003
Science and technology studies0.0040.005
Scholarly communication0.0020.007
Open science0.0040.002
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0000.001

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 head0.014
GPT teacher head0.210
Teacher spread0.195 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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