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Record W3078959904 · doi:10.1002/cctc.202001281

Zn‐assisted cooperative effect for copolymers made by heterodinuclear Fe−Ni catalyst

2020· article· en· W3078959904 on OpenAlex
Mostafa Khoshsefat, Abbas Dechal, Saeid Ahmadjo, M. M. Mortazavi, Gholamhossein Zohuri, 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueChemCatChem · 2020
Typearticle
Languageen
FieldChemistry
TopicOrganometallic Complex Synthesis and Catalysis
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsCopolymerEthyleneCatalysisPolymerizationZincPolymer chemistryMaterials sciencePolymerChemistryChemical engineeringOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Mononuclear Fe and Ni based catalysts (M 1 and M 2 ) in the form of single and dual catalytic systems were employed in the presence and absence of diethyl zinc (DEZ) for polymerization of ethylene. In addition, corresponding homo‐ (M 3 and M 4 ) and heterodinuclear catalysts (M 7 ) along with the mononuclear analogues (M 5 and M 6 ) were used to explore the effect of adjacency of second metal center on the chain transfer efficiency. DEZ had stronger influence on the behavior of mono‐ and dinuclear Fe‐based structures and corresponding thermal and microstructural properties of the PE samples than Ni complexes. A mechanism was proposed for M 5 as the vinyl‐terminated polymer chains increased in the presence of DEZ. More interestingly, M 7 not only showed a cooperative effect for production of a random copolymer containing short and long chain branches but also at low and high concentration of DEZ, a blocky copolymer was obtained through CCTP and CSP. These results were confirmed by 13 C NMR, DMTA, SSA and CEF.

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 categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical
Teacher disagreement score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.231
Teacher spread0.213 · 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