{"id":"W2804773950","doi":"10.3390/wevj8040831","title":"Implications of Successes and Failures of BEV-Focused Incentive Support for PEVs in the U.S., Canada and Europe","year":2016,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Argonne National Laboratory; Vehicle Technologies Office; University of Chicago; U.S. Department of Energy","keywords":"Incentive; Per capita; Range (aeronautics); Market share; Business; Agricultural economics; Environmental science; Economics; Finance; Engineering; Demography","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":[0.001621509,0.0002548511,0.0003114351,0.00267309,0.003383487,0.003650325,0.0011519,0.0005290449,0.002429353],"category_scores_gemma":[0.00802536,0.000222696,0.0004721637,0.004857067,0.002067155,0.001016468,0.002067629,0.0008925518,0.0001510081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02442895,"about_ca_system_score_gemma":0.03883307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9838589,"about_ca_topic_score_gemma":0.9901819,"domain_scores_codex":[0.997079,0.0001935341,0.00009461333,0.0002797203,0.000813922,0.001539219],"domain_scores_gemma":[0.9927918,0.0006478149,0.001201009,0.0001688148,0.003181006,0.002009574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001733016,0.00005624496,0.9660148,0.00004598603,0.0000876545,0.0005245405,0.002043216,0.001943733,0.0002169619,0.007535113,0.003493953,0.01786441],"study_design_scores_gemma":[0.000004983816,0.00002558445,0.9838569,0.00006401321,0.00003421345,0.0001027849,0.01028115,0.000594873,0.0001833641,0.0002535311,0.00457463,0.0000239799],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699267,0.000910706,0.0000950956,0.001828094,0.00002608337,0.00002276078,0.001678803,0.00001196721,0.02549974],"genre_scores_gemma":[0.9969832,0.0004858956,0.00006577908,0.0001212092,0.000004131737,0.000003867415,0.0005295414,0.00000592437,0.00180028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02442895,"threshold_uncertainty_score":0.1772453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004661693388520476,"score_gpt":0.1988345204950379,"score_spread":0.1941728271065175,"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."}}