{"id":"W4413395781","doi":"10.3390/futuretransp5030108","title":"Bayesian Predictive Model for Electric Level 4 Connected Automated Vehicle Adoption","year":2025,"lang":"en","type":"article","venue":"Future Transportation","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian probability; Computer science; Electric vehicle; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003935135,0.0009310595,0.001316857,0.001213998,0.0004775599,0.001821492,0.002135079,0.001847399,0.004622429],"category_scores_gemma":[0.01087341,0.0008237134,0.001165644,0.001197201,0.001102636,0.00187627,0.001018328,0.002024887,0.0006263816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002505069,"about_ca_system_score_gemma":0.00134939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04792107,"about_ca_topic_score_gemma":0.02461653,"domain_scores_codex":[0.9987627,0.0004922621,0.0000498847,0.0002671833,0.0002303646,0.00019762],"domain_scores_gemma":[0.9930803,0.005067992,0.0008351626,0.0001724743,0.0007058442,0.000138153],"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":[0.0000790367,0.00003703514,0.00381409,0.00002734944,0.00003507185,0.00009481131,0.00007181428,0.9726078,0.0002259162,0.01687023,0.0007363782,0.005400488],"study_design_scores_gemma":[0.000007993274,0.00001620917,0.001057797,0.000009709727,0.00001314665,0.00001259004,0.00002156065,0.9931579,0.0000504592,0.005382174,0.000258069,0.00001246799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3655998,0.0009369513,0.61132,0.002456621,0.00008949533,0.0002679257,0.00239792,0.0004766886,0.0164546],"genre_scores_gemma":[0.9750897,0.000565715,0.01545576,0.0001314965,0.00003744313,0.0002142834,0.001101312,0.00003435509,0.007369943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04792107,"threshold_uncertainty_score":0.09528428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005968654912923493,"score_gpt":0.2114708879431627,"score_spread":0.2055022330302392,"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."}}