{"id":"W2997854107","doi":"10.1016/j.envres.2019.109066","title":"Modifiers of the effect of short-term variation in PM2.5 on mortality in Beijing, China","year":2019,"lang":"en","type":"article","venue":"Environmental Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Medicine; Demography; Beijing; Population; Confidence interval; Distributed lag; Air pollution; Mortality rate; Environmental health; China; Geography; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003082776,0.00009967228,0.000198981,0.00008098966,0.00005166606,0.000004767831,0.0003257561,0.00009496557,0.001123813],"category_scores_gemma":[0.000103528,0.00007347647,0.00004924646,0.000275566,0.0003317546,0.0001256118,0.0002796323,0.0004648507,0.0001482093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006441472,"about_ca_system_score_gemma":0.00001325216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001541063,"about_ca_topic_score_gemma":0.0002833704,"domain_scores_codex":[0.9971837,0.0008157045,0.000323428,0.000271751,0.00102559,0.0003797989],"domain_scores_gemma":[0.9991642,0.0002562211,0.00006391303,0.0004374222,6.3378e-7,0.00007756166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001141008,0.0001705211,0.9676661,0.00005070707,0.000003026877,0.000001283579,0.0008766446,0.004376644,0.02398085,0.00003306189,0.00001584091,0.002711141],"study_design_scores_gemma":[0.0004524412,0.0005302851,0.9863509,0.0000543426,0.000001649355,2.851185e-7,0.00005391242,0.00120026,0.0110861,0.0001866809,0.0000229436,0.00006019361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944052,0.00001181179,0.000003039382,0.0001534129,0.00004555914,0.0008335214,0.00001172787,0.00000227107,0.004533421],"genre_scores_gemma":[0.9997034,0.00002454649,0.00001144556,0.00003179303,0.00000682112,0.00001948351,0.000003428856,0.000008899176,0.000190186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01868472,"threshold_uncertainty_score":0.9997893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05398007037845914,"score_gpt":0.3840786664443178,"score_spread":0.3300985960658586,"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."}}