MétaCan
Menu
Back to cohort
Record W4300948604 · doi:10.1002/9781119820123.ch5

Coordination Polymerization

2025· preprint· en· W4300948604 on OpenAlex
João B. P. Soares

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldChemistry
TopicOrganometallic Compounds Synthesis and Characterization
Canadian institutionsUniversity of AlbertaUniversity of Waterloo
Fundersnot available
KeywordsPolymerizationChemistryMaterials sciencePolymerOrganic chemistry

Abstract

fetched live from OpenAlex

This chapter describes the coordination polymerization of vinylic monomers, conjugated dienes, and polar vinylic monomers with the most important catalytic systems known in this area. A chronological classification for the development of the main coordination catalyst types is outlined, as well as polymerization kinetics and mechanisms, and applications of polymers obtained through different metallic complexes. Mathematical models for olefin polymerization with coordination catalysts have been usually classified into microscale, mesoscale, and macroscale models, although a more detailed classification has been proposed recently. Phenomena taking place from microscale to macroscale influence olefin polymerization rates and polyolefin microstructure. The catalyst type ultimately determines the polymer microstructure for a given set of polymerization conditions such as temperature, monomer/comonomer ratio, and hydrogen concentration, but the polymerization conditions at the active sites are a consequence of the type of catalyst support and reactor used to produce the polyolefin.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.668
Threshold uncertainty score0.992

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)0.0090.000

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 head0.235
Teacher spread0.224 · 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