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Record W1550775105 · doi:10.1002/9783527621965.ch8

Group Transfer Polymerization of Acrylates with Mono Nuclear Early d‐ and f‐block Metallocenes. A DFT Study

2008· other· en· W1550775105 on OpenAlexaff
Simone Tomasi, Tom Ziegler

Bibliographic record

Venuenot available
Typeother
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMetallocenePolymer chemistryPolymerizationChemistryCoupling reactionAcrylateMaterials sciencePolymerCopolymerOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

This chapter contains sections titled: Introduction Computational Details Discussion Polymerization Mechanism Initiation: Formation of a Metallocene-enolate Complex Conformations of the Metallocene-acrylate-enolate Complexes Transition States of the Coupling Reaction Ring-opening Reactions Kinetic Scheme for the Prediction of Stereoregularity Side Reactions Involving Metallacycles Backbiting Reaction in Zr- and Sm-eight-membered Metallacycles Proton Transfer in Zr- and Sm-eight-membered Metallacycles Backbiting in Ten-membered Metallocenes Polymer Chain Transfer Reactions Minimization of Side Reactions Conclusions References

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 score0.021

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)0.0060.000

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 head0.007
GPT teacher head0.176
Teacher spread0.170 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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