{"id":"W4385933552","doi":"10.1016/j.jclepro.2023.138477","title":"An agent-based model for regional market penetration of electric vehicles in Brazil","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Innovation Diffusion and Forecasting","field":"Decision Sciences","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; École de Technologie Supérieure","funders":"Mitacs","keywords":"Market penetration; Automotive industry; Electric vehicle; Environmental economics; Business; Process (computing); Sustainable transport; Agent-based model; Alternative fuel vehicle; Green vehicle; Industrial organization; Sustainability; Computer science; Automotive engineering; Marketing; Economics; Engineering; Fuel efficiency; Alternative fuels","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006412705,0.00007265082,0.0001880997,0.00133172,0.00007770464,0.00005097719,0.0002204158,0.00005735719,0.00004058934],"category_scores_gemma":[0.002219618,0.00005686291,0.00009044178,0.001639988,0.00002823469,0.0005431274,0.000008637775,0.000129416,0.00000372129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004364424,"about_ca_system_score_gemma":0.0001701311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002137508,"about_ca_topic_score_gemma":0.00001924494,"domain_scores_codex":[0.9976024,0.0001268479,0.001015884,0.0001930888,0.0009254804,0.0001363092],"domain_scores_gemma":[0.9974844,0.0002030521,0.0009075397,0.0001762577,0.001189641,0.00003906442],"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":[0.001193857,0.0002910839,0.007772856,0.0000262572,0.00001016871,0.000003172721,0.0007366884,0.5276686,0.2001652,0.0005860018,0.08501671,0.1765294],"study_design_scores_gemma":[0.0006064172,0.0002016854,0.04052166,0.00002610766,0.000006134611,0.00001699776,0.0003427744,0.9352358,0.01232681,0.009333165,0.001310439,0.00007203499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764312,0.000014108,0.02025395,0.002655866,0.0003383581,0.0001422277,0.000001755457,0.0000115806,0.0001509387],"genre_scores_gemma":[0.9963555,0.000009035703,0.002093178,0.0001418183,0.0002722306,0.00000311124,0.000004969103,0.000009059145,0.001111062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4075672,"threshold_uncertainty_score":0.265725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1512342759731709,"score_gpt":0.3955313737833393,"score_spread":0.2442970978101684,"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."}}