MétaCan
Menu
Back to cohort
Record W4206655167 · doi:10.1002/admi.202270002

Metallic Plate Buckling As a Low Adhesion Mechanism for Durable and Scalable Icephobic Surface Design (Adv. Mater. Interfaces 1/2022)

2022· article· en· W4206655167 on OpenAlexaff
Kamran Alasvand Zarasvand, Cory Pope, Majid Mohseni, David Orchard, Catherine Clark, Kevin Golovin

Bibliographic record

VenueAdvanced Materials Interfaces · 2022
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsNational Research Council CanadaUniversity of TorontoUniversity of New BrunswickOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsMaterials scienceBucklingComposite materialCoatingElastomerAdhesionMetalStructural engineeringMetallurgyEngineering

Abstract

fetched live from OpenAlex

Icephobic Surface Design In article number 2101402, Kamran Alasvand Zarasvand, Kevin Golovin, and co-workers design durable icephobic surfaces by exploiting the buckling instabilities of metallic plates. These Buckling, Elastomer-like, Anti-icing Metallic Surfaces, or BEAMS, offer exceptional icephobic performance without the need for any coating.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.263
Teacher spread0.241 · 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 teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueAdvanced Materials InterfacesSame topicSurface Modification and SuperhydrophobicityFrench-language works237,207