MétaCan
Menu
Back to cohort
Record W2747386859 · doi:10.1039/c7tc01719g

Thermo-optical characterization and thermal properties of graphene–polymer composites: a review

2017· review· en· W2747386859 on OpenAlexafffund
Reg Bauld, Dong-Yup William Choi, Paul Bazylewski, Ranjith Divigalpitiya, Giovanni Fanchini

Bibliographic record

VenueJournal of Materials Chemistry C · 2017
Typereview
Languageen
FieldMaterials Science
TopicThermal properties of materials
Canadian institutionsWestern University
FundersWestern UniversityNatural Sciences and Engineering Research Council of CanadaMitacsCanada Research Chairs
KeywordsMaterials scienceGrapheneCharacterization (materials science)Composite materialPhotothermal therapyThermalPolymerDeflection (physics)NanotechnologyOptics

Abstract

fetched live from OpenAlex

Graphene–polymer composites show great promise as thermal interface materials. We here offer a deeper understanding of their thermal properties using contactless photothermal deflection techniques.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.065
GPT teacher head0.294
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations45
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Materials Chemistry CSame topicThermal properties of materialsFrench-language works237,207