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Record W4399776581 · doi:10.1002/slct.202401114

Nitration of Derivatives of Imidazo[1,5‐a]pyridine via C−H Functionalization with Fe(NO <sub>3</sub> ) <sub>3</sub>  ⋅ 9H <sub>2</sub> O as a Promoter and a Nitro Source

2024· article· en· W4399776581 on OpenAlexaff
Xiaohan Yang, Bi‐Qin Wang, Qian Zhang, Áron Székely, Meng‐Xiang Wu, Yahong Li

Bibliographic record

VenueChemistrySelect · 2024
Typearticle
Languageen
FieldChemistry
TopicCatalytic C–H Functionalization Methods
Canadian institutionsUniversity of Waterloo
FundersNational Natural Science Foundation of China
KeywordsNitrationSurface modificationChemistryPyridineCombinatorial chemistryMedicinal chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract An additive‐free, mild, and regioselective C(1)−H nitration of imidazo[1,5‐a]pyridine derivatives was developed. This protocol features the use of easily handled, commercially available, and nontoxic Fe(NO 3 ) 3 ⋅ 9H 2 O both as a nitration source and as a promoter, exhibits good functional group compatibility, and generates the desired nitrated products in acceptable to excellent yields. Mechanistic studies proposed that the nitration reaction may involve a radical C−H functionalization process.

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 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)0.001
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 score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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 teacher head, not a consensus.

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

Citations6
Published2024
Admission routes1
Has abstractyes

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