{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002746793,0.00007383725,0.0001183618,0.0004565077,0.00003559594,0.00001367391,0.0003021699,0.0001054064,0.000006932814],"category_scores_gemma":[0.0001689824,0.0000607325,0.000005301933,0.0006401665,0.0007936819,0.0002917737,0.0001389899,0.0001007053,6.882789e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003805231,"about_ca_system_score_gemma":0.00007239536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002274145,"about_ca_topic_score_gemma":0.00001160638,"domain_scores_codex":[0.9992925,0.000009056216,0.0001307833,0.0002083127,0.000168777,0.0001905667],"domain_scores_gemma":[0.9994041,0.00005007667,0.00001725021,0.0003525126,0.0001087419,0.0000673597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006239899,0.00007465956,0.01650799,0.00001591045,0.000007804649,0.00002761585,0.0002208058,0.112816,0.01355928,0.7343955,0.00109509,0.121217],"study_design_scores_gemma":[0.0001985499,0.00006202024,0.0001350919,0.00003669086,0.000001511654,0.000007640237,0.0000850278,0.9769535,0.01611736,0.005546866,0.0007812057,0.00007449794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759873,0.0001612084,0.02202012,0.0004916679,0.0001168755,0.00002152943,0.000006217566,0.0001056775,0.001089419],"genre_scores_gemma":[0.9992341,0.0000986775,0.0005192524,0.000121105,0.000007163736,0.000004092282,0.000004133355,0.000005259019,0.000006234501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8641376,"threshold_uncertainty_score":0.2924354,"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."}}