L’optimisation des transits des navires marchands par l’utilisation des courants de marée.
Bibliographic record
Abstract
Avec la problematique du developpement durable qui jusqu'a tout recemment etait inexistante, il devient urgent de revoir les pratiques et facons de faire en transport fluvial. Une de ces pratiques, qui au fil des ans a ete mise de cote, consiste a ajuster la vitesse des navires afin de profiter des courants de maree. Dans ce contexte et en tenant compte de tous les facteurs impliques, nous avons fait l’exercice de revoir cette pratique. Tout d’abord une collecte de donnees sur les temps de transit de voyages effectues dans le secteur des Escoumins a Trois-Rivieres fut completee. Par la suite, l’effet des courants maree sur la progression des navires a ete modelise pour verifier la rentabilite de l’utilisation des ondes de marees par des navires marchands. Les resultats positifs de cette analyse ont permis le developpement d’un logiciel d’aide a la decision permettant, en fonction de tous les intrants, d’optimiser le transit des navires sur le Saint-Laurent et de reduire les emissions atmospheriques de ces derniers.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".