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Record W2523036794 · doi:10.1039/c6ra21185b

Non-symmetrical diarylcarboxylic acids via rhodium(<scp>i</scp>)-catalyzed regiospecific cross-dehydrogenation coupling of aromatic acids: twofold direct C–H bond activations in water

2016· article· en· W2523036794 on OpenAlexafffund
Hailong Zhang, Guo‐Jun Deng, Shiguang Li, Chao‐Jun Li, Hang Gong

Bibliographic record

VenueRSC Advances · 2016
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsMcGill UniversityWSP (Canada)Centre in Green Chemistry and Catalysis
FundersCenters for Disease Control and PreventionFonds Québécois de la Recherche sur la Nature et les TechnologiesScientific Research Foundation of Hunan Provincial Education DepartmentNational Natural Science Foundation of ChinaCanada Research Chairs
KeywordsDehydrogenationRhodiumChemistryCatalysisArylCombinatorial chemistryCoupling (piping)StereochemistryOrganic chemistryMaterials science

Abstract

fetched live from OpenAlex

An efficient, regiospecific, and general cross-dehydrogenative coupling reaction of free aryl acids to generate non-symmetrical diaryl acids was developed. This strategy involves a two fold direct C–H activation catalyzed by rhodium in water, and can be easily scaled up.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.001

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 head0.018
GPT teacher head0.287
Teacher spread0.268 · 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

Citations18
Published2016
Admission routes2
Has abstractyes

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