MétaCan
Menu
Back to cohort
Record W3197087981 · doi:10.1126/science.abf0277

Centrifugation and index matching yield a strong and transparent bioinspired nacreous composite

2021· article· en· W3197087981 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

VenueScience · 2021
Typearticle
Languageen
FieldMaterials Science
TopicCalcium Carbonate Crystallization and Inhibition
Canadian institutionsMcGill University
Fundersnot available
KeywordsMaterials scienceComposite materialComposite numberFabricationFracture toughnessToughnessYield (engineering)

Abstract

fetched live from OpenAlex

Glasses have numerous applications because of their exceptional transparency and stiffness; however, poor fracture, impact resistance, and mechanical reliability limit the range of their applications. Recent bioinspired glasses have shown superior mechanical performance, but they still suffer from reduced optical quality. Here, we present a nacreous glass composite that offers a combination of strength, toughness, and transparency. Micrometer-sized glass tablets and poly(methyl methacrylate) (PMMA) were mixed and structured by centrifugation, creating dense PMMA-glass layers. A transparent composite was created by tuning the refractive index of PMMA to that of glass and using chemical functionalization to create continuous interfaces. The fabrication method is robust and scalable, and the composite may prove to be a glass alternative in diverse applications.

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 score0.048
Threshold uncertainty score0.276

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 head0.025
GPT teacher head0.257
Teacher spread0.232 · 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