MétaCan
Menu
Back to cohort
Record W2366794367

Preparation of super high molecular weight PAM / AA and determination of reactivity ratios

2013· article· en· W2366794367 on OpenAlexaff
Jiang Jia-qia

Bibliographic record

VenueApplied Chemical Industry · 2013
Typearticle
Languageen
FieldChemistry
TopicAdvanced Polymer Synthesis and Characterization
Canadian institutionsScience North
Fundersnot available
KeywordsAcrylamideCopolymerAcrylic acidChemistryMonomerReactivity (psychology)Molecular massYield (engineering)Nuclear chemistryPolymer chemistryMolar mass distributionPolymerOrganic chemistryMaterials science
DOInot available

Abstract

fetched live from OpenAlex

Acrylamide( AM) and acrylic acid( AA) was used as raw materials to synthesize water-soluble high molecular weight poly( acrylamide-co-acrylic acid)( PAM / AA) copolymer. The orthogonal test was designed to study the effects that the concentration of AM,the mass ratio of AM to AA,the mass ratio of initiator to AM,the mass ratio of CO( NH 2) 2 dosage to AM and reaction temperature on the molecular weight of PAM / AA copolymer. The result showed that the optimal condition was: m( AM) ∶ m( H 2 O) = 30%,m( AM) ∶ m( AA) = 3,m( I) ∶ m( AM) = 0. 3%,m[CO( NH 2) 2 ]∶ m( AM) = 0. 3%,temperature was 20 ℃,and M r of the optimal copolymer was higher to 5. 12 × 108,the reactivity ratio of AM and AA were 0. 684 and 0. 278 estimated by integral method and the residual monomer concentration was measured by ultraviolet spectrophotometry.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.234
Teacher spread0.228 · 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 designBench or experimental
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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueApplied Chemical IndustrySame topicAdvanced Polymer Synthesis and CharacterizationFrench-language works237,207