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Record W2168175544 · doi:10.1002/pc.20710

Predicting the cure of thermosetting polymers: The isoconversion map

2008· article· en· W2168175544 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePolymer Composites · 2008
Typearticle
Languageen
FieldMaterials Science
TopicThermal and Kinetic Analysis
Canadian institutionsPolytechnique Montréal
FundersPolytechnique Montréal
KeywordsThermosetting polymerCuring (chemistry)Differential scanning calorimetryMaterials scienceEpoxyKineticsComposite materialPolymerThermodynamics

Abstract

fetched live from OpenAlex

Abstract The modeling of the cure kinetics is widely used to predict the progress of the chemical reaction during processing of thermosetting resins. In this study, a new technique named the “ Isoconversion Map ” is proposed to predict thermoset curing from a series of differential scanning calorimetry (DSC) analyses. On the basis of the isoconversion methodology, it is possible to devise a model‐free technique to predict resin conversion for a given temperature profile. In this work, the cure kinetics of an epoxy resin has been measured by dynamic DSC tests to construct the proposed “ isoconversion map .” The evolution of the resin cure for a given temperature profile has been determined by applying the proposed approach and then compared with the predictions of common cure kinetics models. POLYM. COMPOS., 2009. © 2008 Society of Plastics Engineers

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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