MétaCan
Menu
Back to cohort
Record W2335086523 · doi:10.2749/222137814814067329

Built-up Wrought-Iron Compression Member with Missing Stitch Rivets

2014· article· en· W2335086523 on OpenAlexafffundabout
Caitlin Mancuso, F. Michael Bartlett

Bibliographic record

VenueReport · 2014
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRivetChord (peer-to-peer)Structural engineeringPedestrianBridge (graph theory)TrussEngineeringArchTruss bridgeForensic engineeringComputer scienceCivil engineeringDatabase

Abstract

fetched live from OpenAlex

London Canada's Blackfriars Bridge, fabricated by the Wrought Iron Bridge Company of Canton Ohio, has been in service since 1875. The parabolic top chord of this tied-arch through-truss structure is built-up using seven shapes interconnected by stitch rivets. Recent inspections indicated extensive stitch rivet failures, raising concerns that the fully composite action of the member has been compromised, with ist constituent shapes in danger of separating. The bridge was temporarily closed to both vehicular and pedestrian traffic to facilitate emergency repairs. This paper investigates the loss of compressive capacity of the built-up compression chord due to missing stitch rivets, including preliminary calculation of the effect of the missing rivets in accordance with the provisions of Canadian steel design standards for built-up members.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.241
Teacher spread0.228 · 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 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

Citations0
Published2014
Admission routes3
Has abstractyes

Explore more

Same venueReportSame topicStructural Load-Bearing AnalysisFrench-language works237,207