{"id":"W4233050680","doi":"10.32920/ryerson.14652681.v1","title":"Environmental stress effects on illness in Southern Ontario","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Windsor; Air pollution; Geography; Environmental science; Environmental health; Medicine; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009561,0.0001542449,0.0001785554,0.0004165161,0.001529076,0.0005276487,0.0001903224,0.0001331067,0.001610656],"category_scores_gemma":[0.0004580089,0.000149093,0.0001962143,0.001256775,0.0004100679,0.0001223314,0.0004869797,0.0001639108,0.0001236313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01124514,"about_ca_system_score_gemma":0.008337848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9821863,"about_ca_topic_score_gemma":0.9935927,"domain_scores_codex":[0.9998573,0.00001264718,0.000005148598,0.00001858479,0.00004086815,0.00006540497],"domain_scores_gemma":[0.999656,0.00001594598,0.0000785064,0.00000892207,0.0001141937,0.0001264513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001744269,0.00002113884,0.9894984,0.00002434318,0.00003270078,0.0002937868,0.003210809,0.000246481,0.0014013,0.00007398358,0.000952039,0.004070617],"study_design_scores_gemma":[0.000001500263,0.000008375043,0.9984599,0.000002891909,0.000002619138,0.00001366451,0.001035037,0.00004091403,0.00002211103,0.000007840936,0.0004031313,0.000002045596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977496,0.0001085491,0.00002136797,0.0001008577,0.000002968206,0.000006650505,0.0006950331,0.000002704186,0.001312227],"genre_scores_gemma":[0.9983077,0.000155396,0.00002949821,0.00001681264,0.000002786073,0.000005559246,0.0004906293,0.000001368395,0.0009903063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01781368,"threshold_uncertainty_score":0.08158964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02086374722259975,"score_gpt":0.2610876683456611,"score_spread":0.2402239211230613,"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."}}