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Record W2419509849 · doi:10.1061/9780784479919.007

BC Ferries Minor/Intermediate Standardized Berths

2016· article· en· W2419509849 on OpenAlexaff
Robert Seitz, David W. Carroll, Stephen J. Mayall

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsMinistry of Health
Fundersnot available
KeywordsMinor (academic)InteroperabilityTransport engineeringService (business)AeronauticsMarine engineeringEngineeringConstructabilityComputer scienceFreeboardOperations researchSystems engineeringWorld Wide Web

Abstract

fetched live from OpenAlex

British Columbia Ferry Services Inc. (BC Ferries) is an essential transportation link throughout the west coast of British Columbia, currently providing vehicle and passenger ferry service on 24 routes to 47 terminals, with a fleet of 33 vessels. About half of the vessels are considered minor/intermediate class vessels, with most varying in size, shape, freeboard, and mass. These variations create significant challenges for fleet interoperability. With aging vessels and terminal berth structures requiring phased replacement over a number of years, BC ferries was challenged to design a standardized berth ahead of the vessel replacement program, which would allow complete interoperability of the existing vessels and define the requirements for improved fits with the new vessels. Effectively, every minor/intermediate vessel was required to operate in every minor/intermediate berth, with some limitations accepted, until vessel replacement was completed. This paper discusses the initial and ongoing development of the “standardized berth concept” and covers areas such as the standardized berth requirement, vessel considerations, berth geometry, and features, ramp features, ramp to vessel interface considerations and constructability.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score0.996

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)0.0050.000

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 head0.009
GPT teacher head0.201
Teacher spread0.193 · 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.

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
Published2016
Admission routes1
Has abstractyes

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