{"id":"W2980332209","doi":"10.1289/ehp5496","title":"Improving and Expanding Estimates of the Global Burden of Disease Due to Environmental Health Risk Factors","year":2019,"lang":"en","type":"article","venue":"Environmental Health Perspectives","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia; McGill University","funders":"National Institute of Environmental Health Sciences; National Institutes of Health; University of Toronto; Milken Institute School of Public Health, George Washington University; European Commission; Institute for Health Metrics and Evaluation; George Washington University; Wellcome Trust; National Institute on Aging; University of Washington","keywords":"Environmental health; Burden of disease; Global health; Disease burden; Disease; Medicine; Public health; Population; Internal medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005381093,0.000279171,0.000475667,0.00003747387,0.0004234403,0.00001188993,0.0002743011,0.0000599659,0.0007246205],"category_scores_gemma":[0.00005803273,0.0002227469,0.0001062345,0.0001393127,0.0005539046,0.0002366939,0.0005326336,0.0002158126,0.00005993577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966382,"about_ca_system_score_gemma":0.00007318542,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007598445,"about_ca_topic_score_gemma":0.00008107016,"domain_scores_codex":[0.9973873,0.0002796394,0.0005605129,0.0005815776,0.0005737866,0.0006171837],"domain_scores_gemma":[0.9980884,0.0001231135,0.0005869187,0.0004512942,0.000001014389,0.0007492954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001362746,0.0003360924,0.957993,0.0001940749,0.00001873132,6.073678e-7,0.03092675,0.001076056,0.0008127822,0.0001114117,0.00009657883,0.008297609],"study_design_scores_gemma":[0.0004789319,0.0007436788,0.9703582,0.00008587207,0.00001186331,0.000003646904,0.02656043,0.0006717088,0.0003347382,0.0003412516,0.0002110512,0.0001986255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939409,0.001219306,0.00026237,0.002466967,0.0001101291,0.001241324,0.0006385673,0.00001885899,0.0001015877],"genre_scores_gemma":[0.9976092,0.0003784239,0.001373608,0.0005146323,0.0000282748,0.00001128964,0.00001016261,0.00002238605,0.00005204695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01236517,"threshold_uncertainty_score":0.99901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363469801701962,"score_gpt":0.2986258341278781,"score_spread":0.2849911361108585,"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."}}