Collaboration entre le Laboratoire Central des Ponts et Chaussees et le ministere des Transports du Quebec sur le sujet des modeles de comportement des chaussees
Bibliographic record
Abstract
L'etude des modeles de comportement des chaussees constitue un volet essentiel de developpement des systemes d'aide a la gestion de l'entretien des routes qui seront mis a la disposition des gestionnaires routiers dans un proche avenir. Pour developper ces modeles, le Laboratoire Central des Ponts et Chaussees (LCPC) a entrepris d'appliquer des outils statistiques , tels que la theorie des lois de survie, aux donnees recueillies d'auscultations systematiques du reseau national (IQRN). De son cote, le Laboratoire Chaussees (LC) du Ministere des Transports du Quebec (MTQ) a conduit un programme de suvi de sections-tests precis et rigoureux. En 2000 et 2001, les recherches ont porte sur le comportement des chaussees souples ayant un premier entretien sous la forme d'un renouvellement de la couche de surface. La base de donnees specifique a ete constituee au cours du second semestre 2001. Dans cet article, les premiers resultats et les coclusions provisoires sont presentes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; both teacher heads agree on what is shown here.
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".