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Record W4415292638 · doi:10.2749/ghent.2025.0911

Ferreirinha Bridge – Aerodynamic Optimization and Verification

2025· article· W4415292638 on OpenAlexaff
Emanuele Mattiello, Francesco Dorigatti, Pierre-Olivier Dallaire, Guy L. Larose, Mark A. Feero, William N. Yakymyk

Bibliographic record

VenueReport · 2025
Typearticle
Language
FieldEngineering
TopicAerodynamics and Fluid Dynamics Research
Canadian institutionsRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsBridge (graph theory)AerodynamicsSpan (engineering)Elevation (ballistics)PedestrianProcess (computing)

Abstract

fetched live from OpenAlex

Ferreirinha Bridge over the Douro River waters is currently under construction in Porto, Portugal. The bridge will carry two metro rail lines as well as pedestrian and bicycle traffic along a total span of 838 m, with a main span of 428.6 m and a nominal elevation at midspan of 76 m. The bridge was designed by Arenas & Asociados, Edgar Cardoso and Noarq for Metro do Porto. RWDI provided the design team with wind engineering consulting during the design process including aerodynamic stability review, optimization and verification for the bridge during its critical construction phases and completed stage.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.011
GPT teacher head0.278
Teacher spread0.267 · 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 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
Published2025
Admission routes1
Has abstractyes

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