MétaCan
Menu
Back to cohort
Record W2915859582 · doi:10.1002/0471440264.pst648

Nitroxide‐Mediated Polymerization

2016· other· en· W2915859582 on OpenAlex

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

VenueEncyclopedia of Polymer Science and Technology · 2016
Typeother
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNitroxide mediated radical polymerizationPolymerizationMonomerNanotechnologyPolymerRadical polymerizationChemistryComputer scienceMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Nitroxide‐mediated polymerization (NMP) has been studied abundantly in the past three decades. There are several very good and recent reviews on the topic available in the literature. Although in this article we provide an overview on the research efforts focused on the polymer chemistry of NMP, our emphasis is placed on research aspects of NMP from a polymer reaction engineering perspective. Namely, we emphasize the use of engineering tools (such as mathematical modeling) on the design, analysis, and control of NMP processes (process engineering) and the well‐defined microstructures obtained by NMP (product engineering). These aspects are not sufficiently discussed or even included in previous reviews on NMP. Despite of all the intensive research programs carried out in academia and industrial research centers over 30 years, there are still several issues that limit the commercial exploitation of NMP. These issues, which include slow polymerization rates, reduced amount of monomers amenable for polymerization by NMP, low molecular weights, and insufficient commercial availability of NMP controllers, are also discussed.

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: Other · Consensus signal: Other
Teacher disagreement score0.273
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.003
GPT teacher head0.219
Teacher spread0.216 · 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