{"id":"W2898847429","doi":"10.3390/atmos9110424","title":"Ambient PM2.5 Human Health Effects—Findings in China and Research Directions","year":2018,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Environmental health; Urbanization; China; Medicine; Air quality index; Air pollution; Human health; Particulates; Cardiovascular health; Population; Environmental science; Geography; Meteorology; Economic growth; Disease; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002599547,0.0004687012,0.0008889807,0.002252228,0.0003460071,0.001247035,0.000563722,0.000492683,0.001698334],"category_scores_gemma":[0.002090596,0.0002460723,0.001319662,0.004785397,0.000599745,0.001292705,0.0006510905,0.000578638,0.000145572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226199,"about_ca_system_score_gemma":0.004499191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03970045,"about_ca_topic_score_gemma":0.03619804,"domain_scores_codex":[0.9993142,0.0001248086,0.000143218,0.0001874032,0.000155719,0.00007470894],"domain_scores_gemma":[0.9982104,0.0007932583,0.0002882218,0.00007358179,0.0005432418,0.00009137364],"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":[0.000355574,0.000114222,0.158061,0.04793749,0.001602517,0.0009920726,0.002482912,0.001458686,0.003021339,0.005049265,0.009809081,0.7691157],"study_design_scores_gemma":[0.00005799245,0.0005818646,0.7846313,0.01217982,0.003388338,0.001367531,0.002566046,0.001015618,0.001576264,0.004283961,0.1882147,0.0001366577],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03394927,0.9596022,0.0004559918,0.002846587,0.0002416649,0.00002719015,0.0005294869,0.0000157475,0.002331884],"genre_scores_gemma":[0.1491079,0.8470962,0.0007281266,0.001567135,0.0004319529,0.0000449638,0.0004593043,0.000008228415,0.000556289],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03970045,"threshold_uncertainty_score":0.07893872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04416538240364724,"score_gpt":0.3885465985235798,"score_spread":0.3443812161199325,"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."}}