{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002045182,0.0006026975,0.0006645519,0.001785299,0.000454714,0.0002784668,0.0009568486,0.0006219052,0.0003951532],"category_scores_gemma":[0.0001701773,0.0004748315,0.000262775,0.003680845,0.0003799815,0.00127676,0.00001367351,0.002312938,0.00009612917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000606412,"about_ca_system_score_gemma":0.0003065153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003652673,"about_ca_topic_score_gemma":0.008058519,"domain_scores_codex":[0.9904789,0.0007158687,0.001039432,0.001217065,0.0038755,0.002673229],"domain_scores_gemma":[0.9957355,0.001101439,0.0001112609,0.0007383109,0.001489178,0.0008243602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001684357,0.0004650992,0.4698373,0.0007866289,0.0004958449,0.0007883953,0.009383381,0.004815581,0.337586,0.00420328,0.04463308,0.1253211],"study_design_scores_gemma":[0.003283573,0.0004553991,0.9075906,0.0003007721,0.0000298991,4.905062e-7,0.003284752,0.002564982,0.0352747,0.002575392,0.04379835,0.000841104],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987022,0.001025098,0.001032013,0.007421511,0.000325159,0.001454595,0.0006335189,0.0004817869,0.0006042765],"genre_scores_gemma":[0.994064,0.0023949,0.0006878839,0.00005294126,0.000760184,0.0004514204,0.0002902887,0.0001872216,0.00111113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4377533,"threshold_uncertainty_score":0.9999888,"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."}}