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Record W1996824698 · doi:10.1002/app.32697

A new crystallization kinetics study of polycarbonate under high‐pressure carbon dioxide and various crystallinization temperatures by using magnetic suspension balance

2010· article· en· W1996824698 on OpenAlex
Li Guo, Chul B. Park

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

VenueJournal of Applied Polymer Science · 2010
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Foaming and Composites
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCrystallizationCrystallinityPolycarbonateMaterials scienceChemical engineeringSaturation (graph theory)Suspension (topology)Isothermal processThermodynamicsPolymer chemistryComposite material

Abstract

fetched live from OpenAlex

Abstract A new approach for researching the effects of induced crystallization of polycarbonate (PC) by pressurized supercritical CO 2 using a magnetic suspension balance is described herein. Our study systematically investigated the effects of saturation temperature and pressure on crystallization kinetics and thermal behavior of crystallized PC. It was observed that either increasing the saturation pressure of CO 2 or the crystallization temperature was effective in promoting the mobility of PC's molecular chains. Thermal behavior and crystallization rate were affected in the following manner: a higher PC molecular chain mobility increased the degree of crystallinity, the melting temperature, and the crystal growth rate. However, the crystal growth dimension changed from a three‐dimensional to a one‐dimensional configuration as the isothermal crystallization temperature was raised incrementally from 140°C to 160°C to 180°C, resulting in an overall decrease in the crystallization rate. © 2010 Wiley Periodicals, Inc. J Appl Polym Sci, 2010

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 score0.004
Threshold uncertainty score0.663

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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