MétaCan
Menu
Back to cohort
Record W2945398817 · doi:10.2749/vancouver.2017.2090

Highway Approaches of the New Champlain Bridge Corridor

2017· article· en· W2945398817 on OpenAlex
Sevak Demirdjian, Nicolas Najjar, J. Cloutier

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsSNC-Lavalin (Canada)
Fundersnot available
KeywordsBridge (graph theory)Transport engineeringCivil engineeringEngineering

Abstract

fetched live from OpenAlex

<p>The New Champlain Bridge project corridor extends over a length of approximately 8.5 km.</p><p>The highway approaches of the bridge corridor include the reconstruction of two major interchanges in Montreal and the widening and reconstructing of both Highways 15 and 10 over 4.5-kilometers in highly urbanized neighbourhoods within Montreal and its suburbs. Highways are equipped with aesthetically pleasing retaining walls, EPS walls as well as noise barriers to satisfy the needs of the community. Furthermore, the construction of a new 470-metre bridge connecting Montreal Island to Ile des Sœurs (Nuns’ Island) represents one of the highlights of the highway approach corridor structures.</p><p>Both cyclists and pedestrians will be able to safely travel over the project corridor on a multiple- use path and stop at one of the many belvederes to gain an exceptional view of the city.</p><p>Durability is also a key design consideration, with a 125-year design life set as design criteria.</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.

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 score0.666
Threshold uncertainty score0.188

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.044
GPT teacher head0.233
Teacher spread0.189 · 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