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Record W3129744073 · doi:10.2749/copenhagen.2018.337

Confederation Bridge Pot Bearing Monitoring and Assessment

2018· article· en· W3129744073 on OpenAlexaffabout
Donald J. McGinn, Parinaz Pakniat, John Newhook

Bibliographic record

VenueReport · 2018
Typearticle
Languageen
FieldEngineering
TopicFire effects on concrete materials
Canadian institutionsDalhousie University
Fundersnot available
KeywordsBearing (navigation)Bridge (graph theory)Displacement (psychology)Environmental scienceForensic engineeringPierEngineeringGeotechnical engineeringGeologyStructural engineeringGeographyCartography

Abstract

fetched live from OpenAlex

The 12.9km long Confederation Bridge, connecting Prince Edward Island with mainland New Brunswick, Canada, utilizes 162 pot bearings to accommodate movement. Some bearings have been instrumented for up to 20 years to study displacement demands and bearing response under traffic, daily thermal cycles, seasonal thermal cycles, and during extreme wind events and temperatures of -20C. The effect of bearing response while sea ice crushes against bridge piers is also assessed. In 2017, two pot bearings were removed from service and each component was thoroughly assessed. Besides wear of the PTFE, the remaining service life of the bearing is estimated at least another 20 years.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.002

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 head0.021
GPT teacher head0.290
Teacher spread0.270 · 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 designObservational
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
Published2018
Admission routes2
Has abstractyes

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