{"id":"W7037306077","doi":"","title":"Développement d'un modèle de prédiction de l'uni des chaussées flexibles","year":2018,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dow Chemical (Canada)","funders":"","keywords":"Decision system; Medium term; Order (exchange)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001118914,0.0009941629,0.001331262,0.000799715,0.000926294,0.002386189,0.001789665,0.002292098,0.0051638],"category_scores_gemma":[0.003053511,0.0009033134,0.001802077,0.001026017,0.0008796453,0.002784829,0.001519146,0.002382175,0.001178227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388267,"about_ca_system_score_gemma":0.002275393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02827862,"about_ca_topic_score_gemma":0.01550207,"domain_scores_codex":[0.9995459,0.00007223267,0.00002311574,0.0001554638,0.0001394683,0.00006384439],"domain_scores_gemma":[0.9988388,0.000544117,0.0001225659,0.0001098679,0.000312573,0.0000721063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008761962,0.00007220679,0.003764242,0.0001277966,0.00007017964,0.0001070018,0.0001695882,0.9359362,0.003162487,0.01418907,0.001142526,0.04117118],"study_design_scores_gemma":[0.000006525968,0.00002700739,0.0006307202,0.00001691361,0.00001369629,0.00001624708,0.00002029429,0.9934525,0.0009044327,0.003506034,0.001389201,0.00001631838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09081927,0.001301864,0.8889093,0.001029811,0.0002824937,0.0001223506,0.000620838,0.001173643,0.01574045],"genre_scores_gemma":[0.8533256,0.001423755,0.1250059,0.0001982121,0.0001097381,0.0003062609,0.0008475965,0.0002989936,0.01848387],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02827862,"threshold_uncertainty_score":0.05622804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02104944124114531,"score_gpt":0.1886556917646656,"score_spread":0.1676062505235203,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}