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Record W2322372560 · doi:10.1061/40889(201)112

Challenges of No. 7 Subway Line Extension Project's TBM Shaft Design

2006· article· en· W2322372560 on OpenAlexaff
P C Das, Eric C. Wang, C. C. Chang

Bibliographic record

VenueStructures Congress 2006 · 2006
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Analysis
Canadian institutionsPQ Corporation (Canada)
FundersNew York Community Trust
KeywordsRedevelopmentExcavationEngineeringLine (geometry)Civil engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

As part of the New York City's redevelopment of the far west side of the mid-town Manhattan, the No. 7 Subway Line Extension project will add 1.5 miles of twin bored tunnels to the existing subway line and two new subway stations. The underground construction has two major components: (1) Running Tunnel & 34th Street Station Cavern and (2) Tenth Avenue Station & Times Square Connection. The running tunnel contract will have a TBM launching shaft (Shaft A), an Adit connecting Shaft A to the running tunnels, and TBM Assembly Chamber at the southern end of the project, i.e., near 25th Street at Eleventh Avenue, where tunnel excavation begins. This paper will discuss challenges of the design and construction of Shaft A where it meets the Adit.

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)0.007
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.017
GPT teacher head0.230
Teacher spread0.213 · 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 designNot applicable
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
Published2006
Admission routes1
Has abstractyes

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