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Record W4390204653 · doi:10.5267/j.ccl.2023.11.006

Development of a novel hyperbranched unsaturated polyester resin: Synthesis, characterization, and potential applications in car body putty

2023· article· en· W4390204653 on OpenAlex
Mohammad Abdollahı, Behzad Khalili

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Chemistry Letters · 2023
Typearticle
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsnot available
FundersUniversity of Guilan
KeywordsChemistryDicyclopentadieneStyreneUnsaturated polyesterCastor oilMethyl methacrylatePuttyOrganic chemistryPolyesterPolymer chemistryPolymerMonomerCopolymerPolymerizationComposite materialMaterials science

Abstract

fetched live from OpenAlex

This work presents a comprehensive synthesis method for the development of a new hyperbranched unsaturated polyester resin (HUPR). The resin is synthesized by modifying dehydrated castor oil fatty acid (DCOFA) with methyl methacrylate (MMA) and styrene, dicyclopentadiene-maleate (DCPD-M), and trimethylol propane diallyl ether (TMPDE). The synthesis process involves the radical addition reaction of DCOFA with MMA and styrene, followed by the addition of DCPD-M and TMPDE to form a HUPR. The resulting resin exhibits enhanced properties, making it a promising candidate for car body putty in the polymer industry.

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 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 score0.085
Threshold uncertainty score0.463

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)0.0000.000

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 head0.010
GPT teacher head0.217
Teacher spread0.207 · 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