{"id":"W2595039493","doi":"","title":"Energy consumption of EVs in intensive use. Expanding theoretical models based on empirical data","year":2015,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Energy consumption; Empirical research; Environmental science; Computer science; Econometrics; Statistics; Economics; Mathematics; Ecology; Sociology; Biology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001036304,0.0006262282,0.000440182,0.001277365,0.000242134,0.001243186,0.0009921805,0.00072489,0.00427632],"category_scores_gemma":[0.006515245,0.0002590999,0.0008439902,0.001887797,0.00052062,0.002957161,0.0006790992,0.001142758,0.0007955631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405824,"about_ca_system_score_gemma":0.0007602641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02061949,"about_ca_topic_score_gemma":0.01419099,"domain_scores_codex":[0.9995477,0.0001362087,0.00002858878,0.0001035384,0.0001027131,0.00008128402],"domain_scores_gemma":[0.9952231,0.003360633,0.0004262138,0.0002981257,0.0006267676,0.00006506273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006854418,0.0007673166,0.6583993,0.0014803,0.0004899162,0.0005002008,0.0007711254,0.1925637,0.001484712,0.04556741,0.01212258,0.08516791],"study_design_scores_gemma":[0.00004270716,0.0004976555,0.6047049,0.001315835,0.0006513601,0.0004954932,0.0043122,0.2781333,0.007490945,0.0612126,0.04103098,0.0001120709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9347222,0.007164418,0.01888588,0.002928166,0.0001580895,0.00007506628,0.008732861,0.0001060161,0.02722731],"genre_scores_gemma":[0.9930201,0.002221049,0.000500513,0.00009318635,0.00003488658,0.00002065198,0.002852231,0.00001185706,0.0012454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02061949,"threshold_uncertainty_score":0.04099894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07664113068448458,"score_gpt":0.3017540892819414,"score_spread":0.2251129585974568,"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."}}