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Record W2338405466

Build a Safe Bridge over Worked Coal Mines

2015· article· en· W2338405466 on OpenAlexaboutno aff
Zhicheng Wu, Baoyu Hu, S Foley, R.J.H. Richardson

Bibliographic record

VenueTAC 2015: Getting You There Safely - 2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sécurité routière - 2015 Congrès et Exposition de l'Association des transports du Canada · 2015
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsnot available
Fundersnot available
KeywordsSubsidenceCoal miningBridge (graph theory)Settlement (finance)EngineeringFoundation (evidence)Forensic engineeringCoalMining engineeringCivil engineeringGeologyLawWaste managementPolitical scienceBusiness
DOInot available

Abstract

fetched live from OpenAlex

Northeast Anthony Henday Drive (NEAHD) is the last quadrant of Edmonton Ring Road. It was tendered as a public private partnership (P3) project in 2012. It consists of 39 km highway, 12 interchanges, and 47 bridges, out of which nine bridges were potentially influenced by coal mines that ceased operation in 1952. History of the existing bridges and geotechnical investigations demonstrated a high risk of subsidence in this abandoned coal mine area. A subsidence can cause differential settlement, lateral movement, and twisting to a bridge. Developing a foundation solution that can accommodate these three dimensional movements, such that in the event of subsidence, a catastrophic failure is avoided, is the challenge. The philosophy adopted for the NEAHD Project was to design a bridge to incur reparable levels of damage should coal mine subsidence occur, without catastrophic failure to the bridge. This paper presents details how this philosophy was developed, agreed, and implemented for a large P3 project.

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0010.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.008

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 head0.008
GPT teacher head0.209
Teacher spread0.201 · 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
GenreOther

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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueTAC 2015: Getting You There Safely - 2015 Conference and Exhibition of the Transportation Association of Canada // ATC: Destination sécurité routière - 2015 Congrès et Exposition de l'Association des transports du Canada→Same topicGeotechnical Engineering and Underground Structures→French-language works237,207→