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Record W2313171341 · doi:10.1021/op200301h

Practical Synthesis of A Benzophenone-Based NNRT Inhibitor of HIV-1

2012· article· en· W2313171341 on OpenAlexaff
Xiao‐jun Wang, Li Zhang, Xiufeng Sun, Heewon Lee, Dhileepkumar Krishnamurthy, Jeff A. O’Meara, Serge Landry, Christiane Yoakim, Bruno Simoneau, Nathan K. Yee, Chris H. Senanayake

Bibliographic record

VenueOrganic Process Research & Development · 2012
Typearticle
Languageen
FieldChemistry
TopicCoordination Chemistry and Organometallics
Canadian institutionsBoehringer Ingelheim (Canada)
Fundersnot available
KeywordsBenzophenoneReagentChemistryGrignard reagentReactivity (psychology)ChlorideEtherGrignard reactionOrganic chemistryCombinatorial chemistryMedicinal chemistry

Abstract

fetched live from OpenAlex

A convergent synthesis of NNRTI 1 is described. The key step involves a direct coupling of acid chloride 4 with Grignard reagent 11 in the presence of bis[2-( N, N -dimethylamino)ethyl] ether that moderates the reactivity of the Grignard reagent to give benzophenone 7 . An efficient 2-step process for the preparation of 2-fluoro-3-methyl-4-aminobenzoic acid ( 3 ) is also described.

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 score0.004
Threshold uncertainty score0.013

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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.056
GPT teacher head0.359
Teacher spread0.303 · 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

Citations9
Published2012
Admission routes1
Has abstractyes

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