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Record W1819722345 · doi:10.1002/mame.201300474

The Thermal Behavior of Polylactide with Different <scp>D</scp>‐Lactide Content in the Presence of Dissolved CO<sub>2</sub>

2014· article· en· W1819722345 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

VenueMacromolecular Materials and Engineering · 2014
Typearticle
Languageen
FieldMaterials Science
Topicbiodegradable polymer synthesis and properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCrystallizationMaterials scienceDifferential scanning calorimetryCrystallinityLactideIsothermal processChemical engineeringGlass transitionMiscibilityPolymer chemistryComposite materialPolymerizationPolymerThermodynamics

Abstract

fetched live from OpenAlex

Abstract The crystallization behavior of polylactide with different D ‐lactide content (1.5, 4.6, and 10.1%.) was investigated in the presence of dissolved CO 2 by using a high‐pressure differential scanning calorimeter. The PLA's crystallization rate was significantly increased with the dissolved CO 2 and by reducing the D ‐lactide content. However, the PLA with a high D ‐lactide content did not reveal any crystallization during non‐isothermal and isothermal melt crystallization, even under 60 bar CO 2 pressure. On the other hand, the final crystallinity of the other two PLA samples differed at various CO 2 pressures and at different cooling rates. This was due to the resultant effects of CO 2 's plasticization and the density of the crystal nuclei on the PLA's molecular mobility, a phenomenon consistent with our earlier investigations of PLAs with different branching degrees and with PLA nano/microcomposites. Moreover, the plasticizing CO 2 molecules depressed the crystallization and glass transition temperatures of the PLA samples similarly.

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)0.001
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 score0.028
Threshold uncertainty score0.384

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.187
Teacher spread0.175 · 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