{"id":"W7042812440","doi":"","title":"Résolution heuristique par génération de colonnes et apprentissage automatique du problème d'horaires d'autobus électriques","year":2023,"lang":"fr","type":"other","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater recharge; Scheduling (production processes); Decision system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001181383,0.001106621,0.001060694,0.0007648803,0.0009560296,0.001999897,0.001028155,0.001438791,0.01014478],"category_scores_gemma":[0.003046899,0.0005418384,0.001140378,0.0008204765,0.000741749,0.001402853,0.001320634,0.001843722,0.0009725967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012656,"about_ca_system_score_gemma":0.001660542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01343495,"about_ca_topic_score_gemma":0.01026157,"domain_scores_codex":[0.999319,0.000196184,0.00003196678,0.0001967005,0.0001396659,0.0001166852],"domain_scores_gemma":[0.9987325,0.0007766005,0.0001060163,0.00007861442,0.0002414837,0.00006487915],"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":[0.0001538223,0.0000644121,0.001542393,0.0002765047,0.00005460519,0.0002959161,0.0002090364,0.9045494,0.004307694,0.01867523,0.002839797,0.06703118],"study_design_scores_gemma":[0.000030085,0.00007511656,0.000544086,0.00004494981,0.00001980669,0.0001177553,0.0001713712,0.9798058,0.002434329,0.0102612,0.006478841,0.00001663906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08314679,0.001012909,0.8998513,0.0008385171,0.0002527698,0.0002488496,0.000310682,0.0004856562,0.01385253],"genre_scores_gemma":[0.6048528,0.0009860761,0.3635295,0.0001977409,0.0001301387,0.0003823742,0.0007153814,0.0002488244,0.02895717],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01343495,"threshold_uncertainty_score":0.03393763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009336625019977179,"score_gpt":0.2404561355156076,"score_spread":0.2311195104956305,"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."}}