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Record W612622510

Gateway Structure Rises Above Site Challenges

2008· article· en· W612622510 on OpenAlexvenueno aff
Michael J. Abrahams, Dean A Bagdasarian

Bibliographic record

VenueBridges Conversations in Global Politics and Public Policy · 2008
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)Civil engineeringTransport engineeringLandscapingPierEngineeringPort (circuit theory)
DOInot available

Abstract

fetched live from OpenAlex

The Sikorsky Bridge served as the gateway to Connecticut's Merritt Parkway since the 1940s. Due to traffic safety concerns, limited traffic capacity and scour susceptibility, the bridge was replaced in 2006. This article describes some of the challenges that were encountered in replacing the bridge. Because the Merritt Parkway is on the National Register of Historic Places, the new bridge had to include architectural treatments and landscaping characteristics relevant to its historic setting. Various site constraints, including a sensitive wetlands areas and a commuter railroad along the river's east bank, also needed to be addressed. A five-span structural steel girder bridge was selected in order to lessen impacts on the wetlands and the commuter railway. This design also reduced the number of piers required in the river, necessary since the river is a Coast Guard-regulated navigation channel. The reduced number of piers and their alignment were designed to minimize the scour that had plagued the old bridge. Staged construction and a design scheme that created an alignment adjacent to the existing structure allowed two lanes of traffic to be maintained in each direction for the duration of the project. The bridge has been equipped with a bridge monitoring system, a weather information system and an incident management system. Information from these systems can be remotely accessed for review and quick action. The completed bridge meets or exceeds all of the necessary performance and design requirements.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.731

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 head0.014
GPT teacher head0.223
Teacher spread0.210 · 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 designTheoretical or conceptual
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
Published2008
Admission routes1
Has abstractyes

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