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Record W2101122906 · doi:10.1002/adsc.201400547

Heterogeneous Light‐Mediated Reductive Dehalogenations and Cyclizations Utilizing Platinum Nanoparticles on Titania (PtNP@TiO<sub>2</sub>)

2014· article· en· W2101122906 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdvanced Synthesis & Catalysis · 2014
Typearticle
Languageen
FieldChemistry
TopicRadical Photochemical Reactions
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsChemistryCatalysisPlatinum nanoparticlesPlatinumPhotochemistryVisible spectrumNanoparticleCombinatorial chemistryInertNanotechnologyChemical engineeringOrganic chemistryMaterials scienceOptoelectronics

Abstract

fetched live from OpenAlex

Abstract The utility of platinum nanoparticles on titania (PtNP@TiO 2 ) as a heterogeneous photoredox catalyst is evaluated using a series of reductive transformations. In comparison to TiO 2 alone, TiO 2 decorated with 0.2% PtNP shows enhanced efficiency, attributed to the NPs ability to both enhance light absorption and inhibit electron‐hole pair recombination. Herein, we demonstrate that under an inert atmosphere and UVA/visible light irradiation a system consisting of our PtNP@TiO 2 catalyst in conjunction with a sacrificial electron donor [diisopropylethylamine, ( i‐ Pr) 2 NEt] can promote a variety of different reductive dehalogenations and cyclizations in moderate to excellent yields. In addition, the catalytic system is tolerant of many different functionalities and, due to its heterogeneous nature, holds the advantage of easy catalyst removal. magnified image

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)0.000
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.011
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.224
Teacher spread0.216 · 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