MétaCan
Menu
Back to cohort
Record W2041515401 · doi:10.1021/jp900740w

Olefin Metathesis Activity of Double Bond Contacts to a Conducting Solid: Alkylidenes on β-Mo<sub>2</sub>C

2009· article· en· W2041515401 on OpenAlexaff
Mohamed Siaj, Nathalie Dubuc, Peter H. McBreen

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2009
Typearticle
Languageen
FieldEngineering
TopicCatalysis and Hydrodesulfurization Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPropeneNorborneneChemisorptionPhotochemistryMetathesisChemistryCyclopenteneMaterials scienceAdsorptionOrganic chemistryPolymerizationCatalysis

Abstract

fetched live from OpenAlex

We report a surface spectroscopy investigation of metathesis reactions among propene, ethene, 1-butene, 1,3-butadiene, norbornene, and cyclopentylidene on a planar polycrystalline β-Mo 2 C surface. Surface cyclopentylidene was prepared by exposure of the clean metal carbide to cyclopentanone. Propagator species, surface methylidene, ethylidene, propylidene, propylidiene, and ring-opened norbornene were detected using reflectance absorbance infrared spectroscopy. High-resolution X-ray photoelectron data were obtained for the interaction between propene and surface cyclopentylidene. Vibrational and thermal desorption measurements as a function of the number of exposure cycles were carried out for the reaction with propene. Turnover to yield butene was detected. The carbonyl bond dissociative adsorption of propanal and acrolein was used to prepare propylidene and propylidiene to further identify the metathesis propagator species. Given that molybdenum carbide displays metallic conductance, olefin metathesis at the chemisorption bond may find use in the design of devices in which good electrical contact between an electrode and an organic phase is desired. More generally, it offers the opportunity to use routine surface science techniques to study olefin metathesis on extended surfaces.

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 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 score0.025
Threshold uncertainty score0.412

Codex and Gemma teacher scores by category

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 science0.0000.000
Research integrity0.0000.000
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 head0.025
GPT teacher head0.263
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 teacher head, 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

Citations8
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of Physical Chemistry CSame topicCatalysis and Hydrodesulfurization StudiesFrench-language works237,207