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Record W4285260538 · doi:10.2749/prague.2022.1511

Evaluation of Non-Prismatic Open Cross-Section Bridge Arch for the Toronto Port Lands Bridges

2022· article· en· W4285260538 on OpenAlexaboutno aff
Jonathan Werner, Navan Chawla, Misha Vickar, Matthias Peltz

Bibliographic record

VenueReport · 2022
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsArchStructural engineeringEngineeringBridge (graph theory)Section (typography)GirderCurvatureCross section (physics)GeologyGeometryComputer scienceMathematicsPhysics

Abstract

fetched live from OpenAlex

<p>The Cherry St North, Commissioners St, and Cherry St South bridges are a series of four signature steel tied arch bridges located in Toronto, Canada. The bridges are being constructed over the Keating Channel and a new extension of the Don River. The arch legs of the bridges are composed of non-prismatic open sections using curved plates. The centre domes at the tops of the arches are also composed of open steel plate sections with plates in double curvature. Steel plate hanger from the arches to the closed steel box tie girders serve to transfer the superstructure gravity loads to the arches. The in-plane and out-of-plane structural stability of the non-prismatic open section arch legs required detailed consideration during design. This paper discusses the various approaches used to analyse and design the arch legs, including the use of approximate methods.</p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.262

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.049
GPT teacher head0.354
Teacher spread0.306 · 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
Published2022
Admission routes1
Has abstractyes

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