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Record W2803046019 · doi:10.1039/c8ta01734d

Efficient synthesis of aluminosilicate RTH zeolite with good catalytic performances in NH<sub>3</sub>-SCR and MTO reactions

2018· article· en· W2803046019 on OpenAlexaff
Hao Xu, Qinming Wu, Yueying Chu, Jingang Jiang, Ling Zhang, Shuxiang Pan, Changsheng Zhang, Longfeng Zhu, Feng Deng, Xiangju Meng, Stefan Maurer, Robert McGuire, Andrei‐Nicolae Parvulescu, Ulrich Müller, Feng‐Shou Xiao

Bibliographic record

VenueJournal of Materials Chemistry A · 2018
Typearticle
Languageen
FieldChemistry
TopicZeolite Catalysis and Synthesis
Canadian institutionsGreen Communities Canada
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsAluminosilicateZeoliteCatalysisChemistryInorganic chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

The synthesis of aluminosilicate RTH zeolite is very fast in the presence of 2,6-methyl- <italic>N</italic> -methylpyridinium cations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.002
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.209
Teacher spread0.201 · 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 teacher head, 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

Citations25
Published2018
Admission routes1
Has abstractyes

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