{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004577055,0.000161544,0.0001552828,0.0001499588,0.00008638189,0.00001781408,0.00007927645,0.0002036573,0.00001016483],"category_scores_gemma":[0.000004299029,0.0001636913,0.00006972314,0.0005492153,0.000006749477,0.0001627145,5.699432e-7,0.0001619857,0.000001129792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000845594,"about_ca_system_score_gemma":0.00005020355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004820979,"about_ca_topic_score_gemma":0.00006146149,"domain_scores_codex":[0.9992414,0.000007822529,0.0002390389,0.0001794031,0.00009981999,0.000232508],"domain_scores_gemma":[0.9996886,0.00002222779,0.00003298431,0.000104591,0.0001118916,0.00003965372],"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":[0.0001664107,0.0000297015,0.0009183002,0.0002830877,0.0001527767,0.000001380813,0.0008409159,0.907755,0.05532803,0.007334632,0.01151519,0.01567459],"study_design_scores_gemma":[0.0006814314,0.00004873954,0.07117318,0.00002160617,0.00007568392,3.465241e-7,0.00004500764,0.9201172,0.005616047,0.001741884,0.0003356691,0.0001431956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1924464,0.0003023278,0.8043509,0.0001262868,0.0002865731,0.0005193505,0.0001888343,0.001441685,0.0003376885],"genre_scores_gemma":[0.9949285,0.00005329692,0.003992047,0.00009077146,0.0001375652,0.00009064189,0.0005851018,0.00002831252,0.00009377467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8024821,"threshold_uncertainty_score":0.6675138,"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."}}