Paper No. D18 Mulder 1 of 16 Improving the Performance of Shallow Draft Tugs in Northern Canada
Bibliographic record
Abstract
Northern Transportation Company Limited, the primary provider of marine transportation services on the Mackenzie River system in Northern Canada, has embarked on a major refit program of their extremely shallow draft river and coastal tugs. The refit program of the company's 11 tugs operating in the Western Arctic region began in 2001 and continues today. The primary goal of the program has been to extend the life of the vessels and improve their performance by incorporating tested features learned through many years of operational experience while also introducing new technology. Severe operating conditions and shallow draft design constraints provide considerable challenges for the design of the vessels ' tunnel stern hull form, pro-pulsion system, and steering system. The performance improvements have been recorded through tests and trials as well as by the analysis of operational results after the completion of vessel modifications. Full-scale trial results of the maneuverability and bollard pull characteristics add to the understanding of these unique vessels.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".