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Record W2094783725 · doi:10.1139/l00-070

A physical model study of ice passage at the Soo Locks

2000· article· en· W2094783725 on OpenAlexvenueno aff
Andrew M. Tuthill

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
FundersCold Regions Research and Engineering LaboratoryU.S. Army Corps of Engineers
KeywordsLock (firearm)Front (military)Flow (mathematics)MeteorologyEngineeringEnvironmental scienceMarine engineeringMechanical engineeringMechanicsGeographyPhysics

Abstract

fetched live from OpenAlex

A physical model study investigated alternatives to improve ice passage at the Soo Locks in Sault Ste. Marie, Michigan. This paper describes the ice problems at the Soo Locks and the solutions developed in the study. Model tests were conducted to evaluate the performance of high-flow air curtains to deflect ice pushed ahead of vessels entering the 366-m-long Poe Lock. A series of air curtains and an array of point source bubblers were also tested to break ice jams in the upper approach of the adjacent MacArthur Lock. In addition, an array of high-flow point source bubblers was developed in the model to relieve ice congestion in front of the downstream miter gates of the Poe Lock. A model water cannon was also found effective for clearing ice in front of miter gates and breaking jams in the upper lock approach.Key words: Soo Locks, physical model study, ice passage, winter navigation, Great Lakes, high-flow air curtain, point source bubbler, miter gate, water cannon.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.958
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.171
Teacher spread0.165 · 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 designSimulation or modeling
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

Citations2
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Civil Engineering→Same topicArctic and Antarctic ice dynamics→French-language works237,207→