Formulation d’un enrobé bitumineux coloré pour le Québec
Bibliographic record
Abstract
Les plus recentes statistiques du ministere des Transports du Quebec demontrent que 26% des accidents de la circulation se produisent dans des zones ou la vitesse est comprise entre 50 et 60 km/h. La moderation de la vitesse dans le but d'ameliorer la securite routiere conduit a une nouvelle conception des amenagements routiers et a l'utilisation de nouveaux materiaux, tels que les revetements bitumineux colores, qui facilitent la lecture des espaces disponibles et delimitent les territoires tout en creant des ambiances urbaines. Compte tenu des avantages de ces revetements, parmi lesquels leur meilleure resistance a l'ornierage, et de l'interet qu'il y aurait a les utiliser au Quebec, notamment dans les entrees de ville, une etude de formulation d'enrobes bitumineux colores de type ESG-10 pour le Quebec a ete realisee au Laboratoire Universitaire sur les Chaussees, Routes et Enrobes Bitumineux (LUCREB) de l'Ecole de technologie superieure. Les resultats obtenus lors du programme experimental montrent que des enrobes bitumineux colores conformes aux normes peuvent etre realises au Quebec. (A). (Titres en anglais et allemand : Mix design of a colored bituminous overlay for use in Quebec. - ; Rezeptur eines gefaerbten Schwarzdeckengemischs fuer Quebec).
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".