{"id":"W2967584944","doi":"10.1038/s41598-019-48057-9","title":"Particulate matter-attributable mortality and relationships with carbon dioxide in 250 urban areas worldwide","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institute for Health Metrics and Evaluation; George Washington University; National Aeronautics and Space Administration","keywords":"Per capita; Gross domestic product; Particulates; Air pollution; Air quality index; Geography; Population; Environmental health; Population health; Environmental science; Demography; Medicine; Economic growth; Economics; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002884875,0.0001353667,0.0002137666,0.00006630488,0.0002155375,0.0001077002,0.00007680366,0.00006331613,0.0005465383],"category_scores_gemma":[0.00009832994,0.0001116851,0.00002180817,0.0005875129,0.0002919722,0.0003706442,0.0001030011,0.0002110587,0.0002086426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001816883,"about_ca_system_score_gemma":0.00005409978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002330397,"about_ca_topic_score_gemma":0.003588707,"domain_scores_codex":[0.9977118,0.0001351946,0.0004699357,0.0006927907,0.00050641,0.0004838211],"domain_scores_gemma":[0.998726,0.00005805639,0.0002284399,0.0007128059,0.00001206448,0.0002626303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009013454,0.00004158563,0.9960084,0.00002390692,0.000003157744,0.00009096588,0.000556369,0.001215881,0.0003599541,0.00002008154,0.001630777,0.00003989218],"study_design_scores_gemma":[0.0001353753,0.00001949032,0.9915184,0.00005494251,0.000009739766,0.0000904496,0.0001047334,0.0007129523,0.0007863603,0.002300961,0.00410421,0.0001623475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890533,0.0000402265,0.00001939001,0.0007379164,0.0005010664,0.00044723,0.000001533229,0.00003111632,0.009168198],"genre_scores_gemma":[0.9946806,0.000001227731,0.0002080687,0.0001760184,0.00001106734,0.00001566202,0.00001395865,0.00001054254,0.004882821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00562731,"threshold_uncertainty_score":0.5984212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960589659792381,"score_gpt":0.2727521785622779,"score_spread":0.2331462819643541,"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."}}