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Record W2226111857 · doi:10.1039/c5cy01798j

Identifying the descriptor governing NO oxidation on mullite Sm(Y, Tb, Gd, Lu)Mn<sub>2</sub>O<sub>5</sub>for diesel exhaust cleaning

2016· article· en· W2226111857 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCatalysis Science & Technology · 2016
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsCanadian Light Source (Canada)Saskatoon Medical ImagingInstitut National de la Recherche Scientifique
FundersNational Key Research and Development Program of ChinaNatural Science Foundation of Tianjin CityNational Natural Science Foundation of ChinaUniversity of Texas at AustinThousand Young Talents Program of ChinaNational Science Foundation
KeywordsMulliteDiesel fuelCatalysisDiesel exhaustMaterials scienceDiesel particulate filterMetallurgyMineralogyChemistryWaste managementEngineeringCeramicOrganic chemistry

Abstract

fetched live from OpenAlex

Mn-based oxides Sm(Y, Tb, Gd, Lu)Mn <sub>2</sub> O <sub>5</sub> are synthesized to identify a general descriptor that governs the catalytic performance in NO oxidation.

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.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
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 score0.039
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0020.006
Scholarly communication0.0010.003
Open science0.0050.002
Research integrity0.0000.000
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 head0.019
GPT teacher head0.256
Teacher spread0.238 · 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