{"id":"W3199907927","doi":"10.1016/j.jclepro.2021.129052","title":"Regionalized climate footprints of battery electric vehicles in Europe","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Norges Forskningsråd","keywords":"Electricity; Battery (electricity); Environmental science; Production (economics); Internal combustion engine; Carbon footprint; Environmental economics; Fossil fuel; Battery electric vehicle; Climate change; Life-cycle assessment; Electricity generation; Electric vehicle; Greenhouse gas; Automotive engineering; Natural resource economics; Engineering; Waste management; Economics; Power (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148489,0.0002406401,0.0002430152,0.000807479,0.0001112107,0.0004991945,0.0002650336,0.000308279,0.0009087936],"category_scores_gemma":[0.0007937007,0.0001055655,0.0006395259,0.0009970901,0.0002135151,0.000522907,0.0005611457,0.0001562837,0.0001229024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004835178,"about_ca_system_score_gemma":0.0001563557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0127512,"about_ca_topic_score_gemma":0.00818006,"domain_scores_codex":[0.999818,0.00005815502,0.000009928865,0.00005665594,0.00002874106,0.00002859766],"domain_scores_gemma":[0.9997421,0.00006806285,0.00005117785,0.00004829569,0.00007652337,0.00001384775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004851872,0.00007096744,0.2771404,0.0001345762,0.0005800803,0.0004071325,0.0002963408,0.6830264,0.007607239,0.005359336,0.001422715,0.02346961],"study_design_scores_gemma":[0.00007189912,0.0002471541,0.816358,0.0001005642,0.0003275078,0.0004358098,0.001048634,0.1460261,0.01388265,0.006029638,0.01536614,0.0001058256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933295,0.0002291213,0.001773503,0.00003841836,0.000003784076,0.000006556473,0.001564326,0.00005074697,0.003004037],"genre_scores_gemma":[0.9980647,0.00009017526,0.0005782546,0.00001275098,0.000001564423,0.000007090047,0.001011106,0.00001755717,0.0002169016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0127512,"threshold_uncertainty_score":0.02535397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007849092734407287,"score_gpt":0.2065864767570846,"score_spread":0.1987373840226773,"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."}}