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Record W1767033660

Formulation d’un enrobé bitumineux coloré pour le Québec

2003· article· fr· W1767033660 on OpenAlexaboutno aff
Michèle St-Jacques, Mélanie Bertrand

Bibliographic record

VenueEspace ÉTS (ETS) · 2003
Typearticle
Languagefr
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyForestryArt
DOInot available

Abstract

fetched live from OpenAlex

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).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.354
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2003
Admission routes1
Has abstractyes

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