{"id":"W2896976081","doi":"10.1097/ede.0000000000000929","title":"Ambient Particulate Matter and Paramedic Assessments of Acute Diabetic, Cardiovascular, and Respiratory Conditions","year":2018,"lang":"en","type":"article","venue":"Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; University of British Columbia","funders":"National Health and Medical Research Council; Medical Research Council; British Columbia Centre for Disease Control; Department of Environment, Land, Water and Planning, State Government of Victoria","keywords":"Medicine; Odds ratio; Asthma; Emergency medicine; Population; Confidence interval; Emergency department; Diabetic ketoacidosis; Logistic regression; Croup; Internal medicine; Pediatrics; Environmental health","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":[0.001856688,0.00008998354,0.000366481,0.00002110916,0.0001179567,0.00000246682,0.00005929893,0.00009981367,0.0007920724],"category_scores_gemma":[0.0001983814,0.00007516787,0.00004671693,0.00005694356,0.001264701,0.0000788555,0.000127559,0.000100386,0.0002114047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000314119,"about_ca_system_score_gemma":0.00001013801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002183813,"about_ca_topic_score_gemma":0.00001902973,"domain_scores_codex":[0.9983572,0.0006114218,0.0003491805,0.0002620734,0.00009189364,0.0003281737],"domain_scores_gemma":[0.9990434,0.000373329,0.0001130346,0.0002498667,0.000007731044,0.0002126511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001317264,0.00002872881,0.9741956,0.00002568997,0.0001362308,0.00000319519,0.0002444997,0.00002251522,0.0003599187,0.0003762904,0.02241914,0.002175025],"study_design_scores_gemma":[0.0002740042,0.0002347433,0.9742619,0.00001289076,0.00007766377,0.00001002437,0.0000173891,0.0003453594,0.0002087436,0.004561809,0.01991695,0.00007854168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941363,0.0002677587,0.001068952,0.003320068,0.0001069011,0.0001565831,0.00001704002,0.0000105731,0.0009158722],"genre_scores_gemma":[0.9815142,0.0001040161,0.00136112,0.01688083,0.00004602968,0.00001826809,0.000004612743,0.000006046757,0.00006491893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01356076,"threshold_uncertainty_score":0.8672637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0783067240108146,"score_gpt":0.3894815060026561,"score_spread":0.3111747819918416,"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."}}