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Record W2093530043 · doi:10.1021/cc9900596

Synthesis of Non-Peptidyl α,α-Difluoromethylenephosphonic Acids on a Soluble Polymer Support

2000· article· en· W2093530043 on OpenAlexaff
Gabriel Hum, Justyna A. Grzyb, Scott D. Taylor

Bibliographic record

VenueJournal of Combinatorial Chemistry · 2000
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicFluorine in Organic Chemistry
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCleavage (geology)ChemistryPolymerPolystyreneHomogeneousPhosphate buffered salinePhosphateOrganic chemistryAmino acidPolymer chemistryCombinatorial chemistryChromatographyMaterials scienceBiochemistry

Abstract

fetched live from OpenAlex

The polymer-supported syntheses of a series of biaryl derivatives bearing the alpha,alpha-difluoromethylenephosphonic acid group is reported. Non-cross-linked polystyrene (NCPS) was used as the support which enabled the reactions to be carried out under homogeneous conditions and reactions to be followed using conventional (19)F NMR. Synthesis of the biaryl phosphonic acids was initiated by attaching mono-ethyl esters of alpha, alpha-difluorophosphonic acids 11 and 12 to 3% alkylhydroxy-modified NCPS via a phosphate ester linkage. Suzuki reaction conditions were developed which allowed for the formation of a series of polymer-bound biaryl phosphonates at ambient temperature. Removal of phosphonic acids from the support and cleavage of the ethyl protecting group was achieved in a single step using TMSI or TMSBr. Yields of the phosphonic acids ranged from 43 to 89% and, in most cases, were obtained in a purity (96-99%), after cleavage from the support, that was sufficient for biological screening.

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)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.344
Teacher spread0.320 · 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

Citations13
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Combinatorial ChemistrySame topicFluorine in Organic ChemistryFrench-language works237,207