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Record W2086598558 · doi:10.3141/1820-06

Parameters for a Roll On-Roll Off Marine Intermodal Service on Lake Superior

2003· article· en· W2086598558 on OpenAlexaboutno aff
Richard D. Stewart, Terry LaVoie, Nathan Shutes

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsnot available
Fundersnot available
KeywordsScheduleThunderRevenueService (business)Transport engineeringBayWater transportBaltic seaEngineeringOperations researchOperations managementBusinessCivil engineeringComputer scienceOceanographyWater flowEnvironmental engineeringFinance

Abstract

fetched live from OpenAlex

The feasibility of reestablishing roll on–roll off (RO–RO) service linking Thunder Bay, Ontario, and the Twin Ports of Duluth, Minnesota, and Superior, Wisconsin, was examined. An analysis of similar services both on the Great Lakes and overseas was undertaken. Previous operations on the same route on Lake Superior and short sea service in the Baltic region were analyzed, and the attributes of an appropriate vessel type, such as ice strengthened scantlings and adequate speeds, were determined. A route schedule for a typical vessel was developed. A profile of a suitable vessel was prepared, and the market availability of the vessels was assessed. Issues in terminal design and operation were applied to potential docks in the ports of call to determine the adequacy of shoreside facilities. Cost factors for vessel operations and terminal operations were determined, and a spreadsheet model was developed for future application. Potential revenue streams from vessel and terminal operations were also explored. Revenue generators included day passengers as well as trailers and containers. The feasibility of linking the RO–RO service to a larger intermodal system serving Canada and the United States was also assessed.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.066
GPT teacher head0.347
Teacher spread0.281 · 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 designObservational
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

Citations3
Published2003
Admission routes1
Has abstractyes

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Same venueTransportation Research Record Journal of the Transportation Research BoardSame topicMaritime Transport Emissions and EfficiencyFrench-language works237,207