{"id":"W7133070011","doi":"","title":"Evaluating the Energy Consumption of Battery Electric Vehicles Under a Diverse and Changing Climate","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; University of Toronto; Government of Ontario; Compute Canada; National Center for Atmospheric Research; National Science Foundation","keywords":"Greenhouse gas; Battery electric vehicle; Climate change; Electricity; Energy consumption; Fossil fuel; Global warming; Battery (electricity); Consumption (sociology); Internal combustion engine","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002567676,0.0003632663,0.0002320098,0.0005250451,0.0002137942,0.0009231837,0.0002175944,0.0002680713,0.001479548],"category_scores_gemma":[0.0004547791,0.0001075964,0.000356954,0.00113314,0.00009592269,0.0005754955,0.0001962837,0.0002013324,0.0004799451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008781725,"about_ca_system_score_gemma":0.0004899129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153276,"about_ca_topic_score_gemma":0.03443947,"domain_scores_codex":[0.9998565,0.00002150528,0.000005796298,0.00001875316,0.00007278633,0.00002463585],"domain_scores_gemma":[0.999864,0.00005687357,0.00001639529,0.000004010011,0.00005461003,0.000004023917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005699407,0.0003657871,0.2446977,0.002991034,0.0006268756,0.0007772604,0.0009187068,0.3218034,0.04396684,0.006790781,0.004414238,0.3720774],"study_design_scores_gemma":[0.00002711877,0.00250074,0.7234977,0.0006719982,0.0007306098,0.0004841923,0.005845784,0.1112178,0.08596613,0.004971201,0.0639622,0.0001244306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552836,0.007278639,0.00446061,0.0001689312,0.00002612244,0.00007178184,0.001485485,0.00002925271,0.03119572],"genre_scores_gemma":[0.9744133,0.01256323,0.001799213,0.00002410761,0.00001278649,0.00002927583,0.001433883,0.00002056659,0.009703708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0153276,"threshold_uncertainty_score":0.03047675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04530208202003203,"score_gpt":0.3435392003627122,"score_spread":0.2982371183426802,"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."}}