{"id":"W2886670037","doi":"10.1007/s11869-018-0608-y","title":"Assessing particulate matter emissions from future electric mobility and potential risk for human health in Canadian metropolitan area","year":2018,"lang":"en","type":"article","venue":"Air Quality Atmosphere & Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Resources Canada; Social Sciences and Humanities Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Particulates; Metropolitan area; Environmental science; Human health; Pollutant; Environmental engineering; Air pollutants; Market penetration; Electric vehicle; Baseline (sea); Air pollution; Engineering; Environmental health; Chemistry; Geography; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004564413,0.0003339602,0.0006957416,0.00002066502,0.002061816,0.00009809549,0.0002463736,0.0002484508,0.001571055],"category_scores_gemma":[0.0001533417,0.0003177734,0.00009796201,0.0005173332,0.0002951935,0.0004834488,0.00009181473,0.0005438093,0.0000892297],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004399506,"about_ca_system_score_gemma":0.00110486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9411917,"about_ca_topic_score_gemma":0.9072542,"domain_scores_codex":[0.9941972,0.001473124,0.001181738,0.0008867266,0.0003579883,0.001903251],"domain_scores_gemma":[0.9962802,0.000205305,0.000574637,0.0006293792,0.00003288233,0.002277625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054565,0.0004239926,0.9151383,0.0002888448,0.0000325138,0.000003084896,0.005109454,0.0001591543,0.00005223932,0.001209408,0.03715142,0.04032616],"study_design_scores_gemma":[0.000736147,0.0004234303,0.9669229,0.0000648208,0.00001122964,0.000002638989,0.002255631,0.00256608,0.00001924648,0.008799696,0.01787613,0.000322045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9292557,0.0004206634,0.002287882,0.06595176,0.0002123506,0.001126572,0.0002569514,0.00006058335,0.0004274863],"genre_scores_gemma":[0.9569143,0.0001130698,0.00841418,0.03405122,0.0002783744,0.00003840879,0.00009378693,0.00003491182,0.00006174853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05178463,"threshold_uncertainty_score":0.9999275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739314489046634,"score_gpt":0.3652578836215485,"score_spread":0.3278647387310821,"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."}}