{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002014844,0.0003266531,0.0002920935,0.0008010546,0.000268678,0.0006109893,0.0004072284,0.0003315877,0.00125432],"category_scores_gemma":[0.005032187,0.0001799374,0.0008944077,0.0008248888,0.0002750399,0.0002736053,0.0005925038,0.0006480069,0.0001395107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004891325,"about_ca_system_score_gemma":0.00058151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01018513,"about_ca_topic_score_gemma":0.008149628,"domain_scores_codex":[0.9982798,0.0006541027,0.0002129113,0.0004551278,0.0002781225,0.000119976],"domain_scores_gemma":[0.9939516,0.001053612,0.00348638,0.000369971,0.0006682317,0.0004700401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007374083,0.00001844975,0.9985037,0.00002246058,0.0001501489,0.00002100768,0.00002408347,0.00008915276,0.00006827735,0.000008430085,0.00004930794,0.0009713098],"study_design_scores_gemma":[0.000003880013,0.00006139868,0.9994909,0.000008982883,0.00003862099,0.00006158905,0.00002735125,0.0001837591,0.00003613104,0.00001465597,0.00007095409,0.000001713383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976134,0.0006200039,0.0002677914,0.00008681577,0.00001452008,0.00002807727,0.0008431402,0.000006908113,0.0005193472],"genre_scores_gemma":[0.9991553,0.0001388924,0.0002546857,0.00002458465,0.00001514897,0.00001086195,0.0003407812,0.000001292033,0.00005845219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01018513,"threshold_uncertainty_score":0.02025169,"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."}}