{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014995,0.00008810023,0.0001401039,0.000006192573,0.0008094076,0.00003226458,0.0001158094,0.00006572148,0.00101144],"category_scores_gemma":[0.00009253967,0.00008184516,0.00001549119,0.0004577087,0.0004325354,0.0001493917,0.0001693629,0.0002962994,0.0004829153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003870713,"about_ca_system_score_gemma":0.0000296101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02404765,"about_ca_topic_score_gemma":0.01671253,"domain_scores_codex":[0.998378,0.0002814847,0.0001875473,0.0002947608,0.0002962605,0.0005618931],"domain_scores_gemma":[0.9993954,0.00008785383,0.0000327697,0.000201289,0.000006195904,0.000276506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005227958,0.0004847573,0.7420077,0.000258355,0.000009675353,0.00001501937,0.02517823,0.00003665253,0.001003514,0.004449723,0.1219563,0.1045477],"study_design_scores_gemma":[0.0002807383,0.0006173184,0.946402,0.00006373852,9.01223e-7,0.000003557876,0.0001947579,0.0001347128,0.000247296,0.001810052,0.05015908,0.00008589698],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979154,0.0001743611,0.00002688091,0.005756414,0.00008572845,0.0003471133,0.000001172681,0.00003566851,0.01441866],"genre_scores_gemma":[0.9960113,0.0001001662,0.0008345288,0.001359087,0.00006792271,0.00002011227,0.000001390372,0.00001141449,0.001594145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2043942,"threshold_uncertainty_score":0.9999018,"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."}}