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Record W1968713948 · doi:10.1002/cjoc.201200558

Significant Promotion of Morphology in Fabricating Efficient Environment Protector

2012· article· en· W1968713948 on OpenAlex
Yu Zhou, Wenjuan Qian, Jing Yang, Ying Wang, Jian Hua Zhu

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

VenueChinese Journal of Chemistry · 2012
Typearticle
Languageen
FieldMaterials Science
TopicMesoporous Materials and Catalysis
Canadian institutionsMinistry of Education and Child Care
FundersNational High-tech Research and Development ProgramNanjing UniversityNational Science Foundation
KeywordsChemistryCitric acidMesoporous materialMorphology (biology)Chemical engineeringNanotechnologyMesoporous silicaCatalysisOrganic chemistryMaterials science

Abstract

fetched live from OpenAlex

Abstract A new strategy of morphology control was applied for mesoporous silica SBA‐15 to fabricate efficient environment protector, and the micro‐ and macro‐morphology of SBA‐15 were simultaneously controlled in weak acidic condition by using citric acid. Through simply tuning the synthetic temperature, monolithic SBA‐15 materials with tunable macroporous structure was fabricated by using mild shearing force field in the citric acid route. Owning to the strong promotion of special morphology, the SBA‐15 monolith can efficiently eliminate the phenol from environmental tobacco smoke (ETS), and the reduction ratio is twice higher than that by tetraethylenepentamine (TEPA) modified powder‐like SBA‐15. These results indicated that morphology of mesoporous materials played a dominant role in environmental purification.

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)0.001
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 score0.003
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.009
GPT teacher head0.228
Teacher spread0.219 · 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