MétaCan
Menu
Back to cohort
Record W2031547224 · doi:10.1081/pre-120016298

COMPARATIVE TRENDS OF COPOLYMERIZATIONS INVOLVING ALPHA METHYL STYRENE AT ELEVATED TEMPERATURES 1*

2002· article· en· W2031547224 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

VenuePolymer Reaction Engineering · 2002
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsStyreneAlpha (finance)ChemistryMaterials sciencePolymer chemistryOrganic chemistryPolymerCopolymer

Abstract

fetched live from OpenAlex

Butyl acrylate (BA), methyl methacrylate (MMA), and alpha methyl styrene (AMS) copolymerizations have been systematically investigated over a range of temperatures from 60 to 140°C. Low conversion copolymerizations elucidated how copolymer composition varied with feed composition in bulk and solution. From these data, a number of models were considered to determine reactivity ratios and the extent of monomer depropagation for the different systems. Subsequently, full conversion range polymerizations examined rate and copolymer composition profiles for the different monomer pairings. *An earlier version of this paper was presented at the Microsymposium on Polymer Reaction Engineering of the 7th Pacific Polymer Conference, Dec 3–7, 2001, Oaxaca, Mexico.

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 score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.020
GPT teacher head0.236
Teacher spread0.217 · 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