{"id":"W4387328213","doi":"10.1136/bmj-2023-075203","title":"Interactive effects of ambient fine particulate matter and ozone on daily mortality in 372 cities: two stage time series analysis","year":2023,"lang":"en","type":"article","venue":"BMJ","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Health Canada","funders":"National Center for Advancing Translational Sciences; Università degli Studi di Firenze; National Natural Science Foundation of China","keywords":"Particulates; Stage (stratigraphy); Ozone; Series (stratigraphy); Computer science; Data science; Environmental science; Meteorology; Geography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00525165,0.001092922,0.001300426,0.001199979,0.0004333943,0.001356529,0.001111293,0.0008632718,0.003039812],"category_scores_gemma":[0.007670018,0.0005756521,0.004275621,0.001277032,0.0006839529,0.0006556914,0.001386857,0.001121026,0.0003069543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0010485,"about_ca_system_score_gemma":0.001247551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02851859,"about_ca_topic_score_gemma":0.01746109,"domain_scores_codex":[0.9961019,0.002203876,0.0001781208,0.0007432668,0.0003785601,0.0003943534],"domain_scores_gemma":[0.9899397,0.006796375,0.001211834,0.0006961419,0.0007095749,0.0006463206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002037098,0.0003685485,0.9210649,0.0001324234,0.005785977,0.0006447193,0.0002603028,0.05526233,0.002949762,0.0009393619,0.0012733,0.009281174],"study_design_scores_gemma":[0.0001146429,0.0007699378,0.6632563,0.00002966525,0.00128532,0.0001177305,0.0003422201,0.3310859,0.0009586406,0.001108849,0.0008182259,0.0001125311],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916938,0.0002452046,0.005987338,0.0001736958,0.00002978615,0.00004931049,0.001456697,0.00005493061,0.0003092814],"genre_scores_gemma":[0.9946098,0.0001032283,0.001607189,0.00003427851,0.00001896375,0.0000960614,0.002523884,0.0000140946,0.0009924493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02851859,"threshold_uncertainty_score":0.05670518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318690951379415,"score_gpt":0.3430128359916474,"score_spread":0.3111437408537059,"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."}}