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Record W2133693065 · doi:10.1002/mame.201200030

Green Composites From Soy‐Based Biopolyurethane With Microcrystalline Cellulose

2012· article· en· W2133693065 on OpenAlex
Xiaogang Luo, Amar K. Mohanty, Manju Misra

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 · 2012
Typearticle
Languageen
FieldMaterials Science
TopicPolymer composites and self-healing
Canadian institutionsUniversity of Guelph
FundersMinistry of Education, IndiaMinistry of Earth Sciences
KeywordsMaterials scienceMicrocrystalline cellulosePolyolComposite materialThermal stabilityCompression moldingCelluloseComposite numberPetrochemicalSoybean oilFourier transform infrared spectroscopyCompoundingChemical engineeringPolyurethaneOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract A simple process is described for preparing transparent composite sheets from soy‐oil‐based biopolyurethane (BioPU) with microcrystalline cellulose (MCC). The sheets are prepared by the reaction of a mixture of soy‐oil‐based polyol and petrochemical polyol with polymeric methyldiphenyl diisocyanate (pMDI) in the presence and absence of MCC reinforcement by compression molding. MCC is well dispersed in the PU matrix, and characteristic peaks for MCC and BioPU are shown by the FTIR spectra. Mechanical properties are substantially improved with increasing MCC content. DMA and TGA results show better thermal stability in comparison to the neat BioPU sheets. magnified image

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 score0.003
Threshold uncertainty score0.993

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 head0.005
GPT teacher head0.181
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