{"id":"W2461336101","doi":"10.1021/acs.est.5b01236","title":"Addressing Global Mortality from Ambient PM<sub>2.5</sub>","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":1002,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Particulates; Air quality index; Environmental science; Environmental health; China; Mortality rate; Air pollution; Burden of disease; Demography; Geography; Environmental protection; Meteorology; Population; Medicine; 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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001020546,0.0002843466,0.0002810877,0.000109891,0.0005941453,0.00006609664,0.001065013,0.0002625021,0.0005110878],"category_scores_gemma":[0.0001603918,0.0002741143,0.00005549897,0.001281433,0.005381125,0.0007855281,0.001396351,0.000339894,0.002910633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002797923,"about_ca_system_score_gemma":0.0001058282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000700272,"about_ca_topic_score_gemma":0.000260094,"domain_scores_codex":[0.9961469,0.00007491648,0.0004248546,0.0009849807,0.001265044,0.001103327],"domain_scores_gemma":[0.998206,0.00002062392,0.0002057949,0.0007974808,0.000004284263,0.000765885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003107092,0.0004442678,0.6473443,0.000003520423,0.00001042489,0.00005456748,0.000600713,0.0006564804,0.2800135,0.0004990002,0.002427417,0.06791475],"study_design_scores_gemma":[0.0007460152,0.0003198981,0.7611902,0.00002314084,0.00002516032,0.00004331368,0.001357121,0.001015509,0.2053471,0.01780443,0.01154315,0.0005849962],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918084,0.0001289656,0.0009603935,0.00256919,0.0003549193,0.0003104483,0.00007257639,0.0002364312,0.003558724],"genre_scores_gemma":[0.9963303,0.00003314517,0.001769582,0.00174008,0.0000548772,0.00002546042,0.00001300253,0.00001339297,0.00002019863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1138459,"threshold_uncertainty_score":0.9999711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07031288394219963,"score_gpt":0.3259121486696672,"score_spread":0.2555992647274676,"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."}}