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Record W2920906215 · doi:10.1039/c8nj05866k

Facile construction & modeling of a highly active thiacalixphenyl[4]arene-protected nano-palladium catalyst for various C–C cross-coupling reactions

2019· article· en· W2920906215 on OpenAlexaff
Krunal Modi, Chirag Patel, Urvi Panchal, Alan Liška, Anita Kongor, Jiřı́ Ludvı́k, V. K. Jain

Bibliographic record

VenueNew Journal of Chemistry · 2019
Typearticle
Languageen
FieldChemistry
TopicNanomaterials for catalytic reactions
Canadian institutionsImpact
FundersGrantová Agentura České RepublikyUniversity Grants CommissionDepartment of Science and Technology, Ministry of Science and Technology, India
KeywordsChemistryStille reactionPalladiumCatalysisCoupling reactionHeck reactionCoupling (piping)NanoparticleNano-Combinatorial chemistryPolymer chemistryOrganic chemistryNanotechnologyChemical engineeringMetallurgy

Abstract

fetched live from OpenAlex

A newly designed and synthesized thiacalixphenyl[4]arene tetraacetohydrazide ( <bold>TPTAH</bold> ) has been utilized for the construction of palladium nanoparticles ( <bold>TPTAH</bold> -PdNPs), which are found to be catalytically active for the C–C cross-coupling reactions such as the Suzuki–Miyaura, Heck, and Stille reactions.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.012
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.017
GPT teacher head0.263
Teacher spread0.246 · 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

Citations4
Published2019
Admission routes1
Has abstractyes

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