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Record W2021316570 · doi:10.1021/jp030741x

Creating Three Pentacoordinated Carbons in a Six-Membered Ring. An Atoms-in-Molecules and Electron-Localization Function Study on the Trishomocyclopropenyl Cation and Phosphorus, Sulfur, Arsenic, and Selenium Analogues

2003· article· en· W2021316570 on OpenAlexaff
Nick Henry Werstiuk, Yigui Wang

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2003
Typearticle
Languageen
FieldChemistry
TopicFerrocene Chemistry and Applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMoleculeArsenicChemistrySulfurMethylenePhosphorusRing (chemistry)Density functional theoryCarbon fibersCrystallographyAtoms in moleculesInorganic chemistryComputational chemistryMedicinal chemistryMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

The trishomocyclopropenyl cation and related species were investigated at the Becke3PW91/6-311G(d,p) and MP4(SDQ)/6-311G(d,p) levels of theory. The bonding was characterized on the basis of atoms-in-molecules (AIM) theory, as well as in terms of basins and their populations within the electron-localization function (ELF) framework. There are no pentacoordinated carbons in the trishomocyclopropenyl cation, although it is stabilized by σ,σ-no-bond homoconjugation; it is not a hypercoordinate species. Only when the C1−C3, C3−C5, and C1−C5 distances are fixed at 1.576 Å is a σ,σ-bond homoconjugated species obtained, but it is not a stationary point and is 21.7 kcal mol -1 higher in energy than the equilibrium-optimized trishomocyclopropenyl cation. When the methylene groups of the trishomocyclopropenyl cation are replaced with PH, S, AsH, and Se, equilibrium-optimized σ,σ-bond homoconjugated species that exhibit three pentacoordinated carbons are obtained. A rationale for these observations is presented.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.250
Teacher spread0.238 · 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 designSimulation or modeling
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

Citations7
Published2003
Admission routes1
Has abstractyes

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Same venueThe Journal of Physical Chemistry ASame topicFerrocene Chemistry and ApplicationsFrench-language works237,207