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Record W3201454613 · doi:10.26434/chemrxiv.7701710.v1

Interaction of Neutral Donors with Methylaluminoxane

2019· preprint· en· W3201454613 on OpenAlexaff
Harmen S. Zijlstra, Anuj Joshi, Mikko Linnolahti, Scott Collins, J. Scott McIndoe

Bibliographic record

VenueChemRxiv · 2019
Typepreprint
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMethylaluminoxaneElectrospray ionizationChemistryPhotochemistryMass spectrometryOlefin polymerizationCatalysisPolymer chemistryOlefin fiberPolymerizationOrganic chemistryMetalloceneChromatography

Abstract

fetched live from OpenAlex

Methylaluminoxane (MAO) is a key activator for olefin polymerization catalysts, making its chemistry of ongoing interest. Neutral donors such as octamethyltrisiloxane (OMTS) are effective abstractors of the dimethylaluminum cation, [Me 2 Al] + , from methylaluminoxane (MAO), and this process can be readily investigated using electrospray ionization mass spectrometry (ESI-MS) in fluorobenzene (PhF) solution. Complementary studies employing 1D and 2D 1 H NMR spectroscopic studies in bromobenzene-d 5 solution provide details on the extent of ionization vs. donor-acceptor complex formation. DFT studies employing different neutral model precursors and mono- vs. bi-dentate donors shed light on possible mechanisms for ion-pair formation.

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 score0.003
Threshold uncertainty score0.012

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.021
GPT teacher head0.244
Teacher spread0.223 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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