{"id":"W2293810585","doi":"","title":"How Future Plug-in Electric Vehicle Buyers Differ from Present Owners","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Purchasing; Electricity; Marketing; Electric vehicle; Business; Consumer behaviour; Electric cars; Economics; Environmental economics; Engineering; Power (physics); Automotive engineering","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":[0.001321365,0.00008640467,0.0001890174,0.0005319671,0.0007031705,0.002451194,0.0004891062,0.0005683833,0.00414066],"category_scores_gemma":[0.005000567,0.0001945345,0.000321538,0.0006112561,0.0005198796,0.002510982,0.0006997671,0.0007450769,0.0006603194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000613817,"about_ca_system_score_gemma":0.0003864053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01742789,"about_ca_topic_score_gemma":0.01913587,"domain_scores_codex":[0.9993836,0.0001494449,0.00002692257,0.00007480925,0.0001817301,0.0001835831],"domain_scores_gemma":[0.9977534,0.0007407319,0.0005327515,0.0001039617,0.0003320618,0.0005370336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002350787,0.0002084929,0.9528424,0.00003454397,0.00005254131,0.0003376424,0.01703358,0.000122189,0.0002991053,0.001816043,0.001830251,0.02518821],"study_design_scores_gemma":[0.00001460942,0.0001419572,0.9187745,0.00005621864,0.00003113803,0.000502163,0.07209612,0.0006663055,0.0002385591,0.001108459,0.006332872,0.00003711554],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967188,0.0002148578,0.00007602917,0.0003862738,0.000008810766,0.000006228838,0.00006882893,0.000001188291,0.0025189],"genre_scores_gemma":[0.9982266,0.0002177061,0.00004481864,0.0001242268,0.000006753161,0.000004175094,0.0001033057,0.00000216233,0.001270195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01742789,"threshold_uncertainty_score":0.03465289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0196333067287025,"score_gpt":0.2870866624814123,"score_spread":0.2674533557527098,"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."}}