{"id":"W4387315245","doi":"10.61511/jimese.v1i1.2023.27","title":"Environmental life cycle assessment of conventional and electric vehicles: lessons learned from selected countries","year":2023,"lang":"en","type":"article","venue":"Journal of Innovation Materials Energy and Sustainable Engineering","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Context (archaeology); Sustainability; Environmental impact assessment; Electricity; Renewable energy; Environmental economics; Business; Environmental science; Environmental protection; Engineering; Geography; Production (economics); Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003400596,0.0001207455,0.0002480519,0.0004144845,0.00005937733,0.00005416334,0.00005636647,0.00008619581,0.00004485006],"category_scores_gemma":[0.00005953753,0.000118558,0.00001514899,0.0006981405,0.00001346162,0.0002356211,0.00002633468,0.0001018947,1.544938e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007020694,"about_ca_system_score_gemma":0.00006726147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001196444,"about_ca_topic_score_gemma":1.736085e-7,"domain_scores_codex":[0.9990009,0.00001987648,0.0005149898,0.00008095821,0.0001658572,0.0002174109],"domain_scores_gemma":[0.9995432,0.00005840562,0.000161442,0.00005031686,0.0001455255,0.00004112256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002627794,0.000009941115,0.0006152248,0.0001760232,0.0001533746,0.00001740175,0.00006672634,0.1189497,0.8475941,0.03072834,0.0002813834,0.001381547],"study_design_scores_gemma":[0.002620044,0.0003650289,0.2523707,0.0001746956,0.0001016249,0.00008225549,0.0009964056,0.243097,0.4833811,0.007435677,0.008737924,0.0006375076],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916095,0.0004329337,0.007635436,0.0001133209,0.0001057559,0.00003238514,0.00001386481,0.00004306853,0.00001371364],"genre_scores_gemma":[0.9980782,0.00120461,0.0004952431,0.00001871065,0.0001177027,0.000003250774,0.00002832602,0.00002125369,0.00003265517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.364213,"threshold_uncertainty_score":0.4834654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005774057523457323,"score_gpt":0.2110533561709237,"score_spread":0.2052792986474664,"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."}}