MétaCan
Menu
Back to cohort
Record W4281476208 · doi:10.26434/chemrxiv-2022-hmwkr

Photoinduced Oxygen Transfer using Nitroarenes for the Anaerobic Cleavage of Alkenes

2022· preprint· en· W4281476208 on OpenAlexfundno aff
Daniel T. Wise, Emma Gogarnoiu, Taylor Vacala, Joshua Paolillo, Waseem A. Hussain, Alana Duke, Marvin Parasram

Bibliographic record

VenueChemRxiv · 2022
Typepreprint
Languageen
FieldChemistry
TopicRadical Photochemical Reactions
Canadian institutionsnot available
FundersYork UniversityPrinceton UniversityNew York University
KeywordsChemistryPhotochemistryPhotoexcitationReagentCycloadditionCleavage (geology)OzonolysisSolventCombinatorial chemistryArylOrganic chemistryCatalysisExcited stateMaterials science

Abstract

fetched live from OpenAlex

Herein we report a visible light promoted method for the cleavage of alkenes into valuable carbonyl derivatives using economical nitroarenes as oxygen transfer reagents. This approach serves as an operationally simple and practical alternative to mainstream oxidative cleavage protocols, such as ozonolysis and the Lemieux–Johnson reaction, with comparable efficiency and without their considerable limitations. Mechanistic studies support that the transformation occurs via a solvent separated ion-pair complex and that the nitroarene undergoes direct photoexcitation to trigger a radical cycloaddition event with alkenes leading to a 1,3,2-dioxazolidine intermediate that fragments to give the desired carbonyl products. A combination of radical clock experiments and in situ PhotoNMR spectroscopy revealed the identities of the key radical species and the putative aryl 1,3,2-dioxazolidine intermediate, respectively.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.001
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 head0.058
GPT teacher head0.299
Teacher spread0.242 · 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

Citations12
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueChemRxivSame topicRadical Photochemical ReactionsFrench-language works237,207