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Record W4237140947 · doi:10.1002/ange.201984261

Frontispiz: Building a Bridge from Papermaking to Solar Fuels

2019· article· en· W4237140947 on OpenAlexaff
Zaiyong Jiang, Xinhan Zhang, Wei Sun, Deren Yang, Paul N. Duchesne, Yugang Gao, Zeyan Wang, Tingjiang Yan, Zhimin Yuan, Guihua Yang, Xingxiang Ji, Jiachuan Chen, Baibiao Huang, Geoffrey A. Ozin

Bibliographic record

VenueAngewandte Chemie · 2019
Typearticle
Languageen
FieldEnergy
TopicTiO2 Photocatalysis and Solar Cells
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBridge (graph theory)PapermakingPolymer scienceEngineeringChemistryPulp and paper industry

Abstract

fetched live from OpenAlex

Solarbrennstoffe Die Synthese von Graphenquantenpunkten aus dem industriellen Abfallprodukt Schwarzlauge wird von W. Sun, J. Chen, G. A. Ozin et al. in der Zuschrift auf S. 14992 beschrieben. Die GQDs werden genutzt, um die photokatalytische Aktivität von TiO2 in der H2O- und CO2-Reduktion zu steigern.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.115
Threshold uncertainty score0.384

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.008
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.1150.043

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 head0.015
GPT teacher head0.241
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2019
Admission routes1
Has abstractyes

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