{"id":"W3153031302","doi":"10.1139/er-2020-0105","title":"Atmospheric particulate pollution in South American megacities","year":2021,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad Nacional del Sur; Consejo Nacional de Investigaciones Científicas y Técnicas","keywords":"Megacity; Air quality index; Particulates; Air pollution; Environmental protection; Pollution; Pollutant; Environmental science; Population; Environmental engineering; Geography; Environmental health; Meteorology; Chemistry; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002689412,0.0004022426,0.0004817186,0.002052434,0.0004572067,0.0006824482,0.0002958651,0.0003137827,0.001685162],"category_scores_gemma":[0.0006377624,0.0001608715,0.0005104751,0.004193454,0.0001984355,0.0003721959,0.0005155941,0.0004355201,0.0002243594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005673149,"about_ca_system_score_gemma":0.001345008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04506694,"about_ca_topic_score_gemma":0.08547077,"domain_scores_codex":[0.9998442,0.00002354757,0.00002880973,0.000034971,0.0000478405,0.00002065283],"domain_scores_gemma":[0.9997333,0.00004773516,0.00007579588,0.000006365956,0.0001219786,0.00001484071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003667757,0.0001178746,0.3709835,0.0408501,0.001285803,0.003678472,0.007025755,0.0005057437,0.005035167,0.002682357,0.03010722,0.5373612],"study_design_scores_gemma":[0.00001924609,0.0001239149,0.7700074,0.007202792,0.001627323,0.003987386,0.005852852,0.0002657821,0.0009932054,0.001228604,0.2086375,0.00005408818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.2209078,0.7562757,0.0006123195,0.004044081,0.0003434349,0.00009292011,0.005937538,0.00005621911,0.01172997],"genre_scores_gemma":[0.409369,0.5830865,0.001017588,0.001060894,0.0001902784,0.0001098206,0.003475657,0.00001404037,0.001676194],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04506694,"threshold_uncertainty_score":0.08960927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03338010259976698,"score_gpt":0.2858120713658014,"score_spread":0.2524319687660345,"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."}}