{"id":"W3047815960","doi":"10.3390/atmos11111238","title":"Human Health and Economic Costs of Air Pollution in Utah: An Expert Assessment","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Brigham Young University","keywords":"Life expectancy; Air pollution; Legislature; Economic cost; Gross domestic product; Health impact assessment; Economic impact analysis; Environmental planning; Environmental protection; Environmental health; Business; Environmental resource management; Environmental science; Geography; Public health; Economics; Economic growth; Medicine; Population","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":[0.01154641,0.0004340386,0.0002652867,0.002972457,0.001218968,0.001409245,0.0006099319,0.0008695029,0.001165031],"category_scores_gemma":[0.01815135,0.0002019745,0.0004781477,0.001924703,0.0005470943,0.001012327,0.001773587,0.0004634937,0.0001112645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004214307,"about_ca_system_score_gemma":0.004151313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06173461,"about_ca_topic_score_gemma":0.1596043,"domain_scores_codex":[0.9930005,0.003396484,0.000368044,0.0003555054,0.002604677,0.0002747937],"domain_scores_gemma":[0.9888254,0.005652724,0.001336069,0.0003350558,0.003495676,0.0003551463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004250163,0.000833444,0.7187503,0.0006314235,0.000739279,0.001062926,0.01153668,0.05650037,0.002381512,0.00565384,0.01641952,0.1850657],"study_design_scores_gemma":[0.0000690814,0.0007279883,0.8837425,0.0004383108,0.0005063803,0.0003344605,0.01192015,0.06762334,0.002803535,0.006571469,0.02507956,0.0001831885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751784,0.00046855,0.004731384,0.003343271,0.0000176387,0.0003229699,0.001198484,0.00002602235,0.01471336],"genre_scores_gemma":[0.9902765,0.0005518979,0.006257092,0.0006271827,0.00004511456,0.0002009285,0.0007651426,0.00000655523,0.001269613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06173461,"threshold_uncertainty_score":0.1227506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04616242618802045,"score_gpt":0.3520996915529409,"score_spread":0.3059372653649204,"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."}}