MétaCan
Menu
Back to cohort
Record W651537463

SPRAY-ON STRENGTH. A SQUIRTABLE FIBRE COATING COULD GIVE OLD BUILDINGS A NEW-FOUND RESILIENCE

2001· article· en· W651537463 on OpenAlexaboutno aff
Nicholas P. Jones

Bibliographic record

VenueThe New Scientist · 2001
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsCoatingResilience (materials science)Bridge (graph theory)Materials scienceComposite materialGirderStructural engineeringGlass fiberEngineering
DOInot available

Abstract

fetched live from OpenAlex

A coating of fibres (glass or carbon) embedded in plastic may be used to strengthen old bridges. Laboratory tests with concrete girders from a 50-year-old bridge showed that the random orientation of the shorter fibres in the spray-on coating was more effective at absorbing stress applied from different directions than side-by side fibre orientation in sheets of plastic. A trial with the spray-on coating applied over sensory fibre-optic cables to the Safe Bridge on Vancouver Island, Canada is expected to double the weight of traffic the bridge can carry and triple its seismic resistance.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueThe New ScientistSame topicGeotechnical Engineering and Underground StructuresFrench-language works237,207