MétaCan
Menu
Back to cohort
Record W2106553418 · doi:10.1002/chin.200545009

Unique Barium Selenostannate—Selenide: Ba<sub>7</sub>Sn<sub>3</sub>Se<sub>13</sub> (and Its Variants Ba<sub>7</sub>Sn<sub>3</sub>Se<sub>13‐δ</sub>Te<sub>δ</sub>) with SnSe<sub>4</sub> Tetrahedra and Isolated Se Anions.

2005· article· en· W2106553418 on OpenAlexaff
Abdeljalil Assoud, Holger Kleinke

Bibliographic record

VenueChemInform · 2005
Typearticle
Languageen
FieldMaterials Science
TopicIron-based superconductors research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsChemistryBariumSelenideCrystallographyMineralogySeleniumInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract For Abstract see ChemInform Abstract in Full Text.

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)0.010
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, 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 score0.033
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.004
Meta-epidemiology (narrow)0.0100.010
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0060.010
Science and technology studies0.0060.006
Scholarly communication0.0050.013
Open science0.0070.005
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0000.005

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 head0.017
GPT teacher head0.243
Teacher spread0.227 · 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
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueChemInformSame topicIron-based superconductors researchFrench-language works237,207