{"id":"W4391652936","doi":"10.1017/s0950268824000207","title":"Relationship between extreme precipitation and acute gastrointestinal illness in Toronto, Ontario, 2012–2022","year":2024,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Toronto Metropolitan University","funders":"Government of Canada; Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Precipitation; Internal medicine; Geography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004188564,0.0002899728,0.0002829115,0.0004868544,0.0009627549,0.0007467776,0.0005239936,0.0002340885,0.002030122],"category_scores_gemma":[0.001744719,0.0002446537,0.0006335133,0.001609618,0.0003983017,0.0002384969,0.0007924127,0.0004729926,0.0001272562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01295785,"about_ca_system_score_gemma":0.01307307,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9802794,"about_ca_topic_score_gemma":0.9886656,"domain_scores_codex":[0.9996089,0.00007328165,0.00003355066,0.00006169662,0.000105448,0.0001170855],"domain_scores_gemma":[0.9986517,0.0001346017,0.0004547588,0.00005584346,0.0003858273,0.0003173093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001023344,0.00001174065,0.9955931,0.00005553201,0.0001100456,0.00009367897,0.0004211814,0.0004514256,0.0001209852,0.00007546775,0.001266391,0.001698104],"study_design_scores_gemma":[0.000004012459,0.00001557422,0.9980423,0.00002389934,0.00002786378,0.00003488321,0.0004910866,0.0005343635,0.0000214575,0.00002120389,0.0007784926,0.000004863352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850166,0.00187845,0.0004002784,0.0008416144,0.00002986878,0.00003689956,0.00975236,0.00001997359,0.002024021],"genre_scores_gemma":[0.9967796,0.0004754922,0.0001217587,0.00005079654,0.00001057736,0.00001502743,0.001900325,0.000002920528,0.0006435585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01972055,"threshold_uncertainty_score":0.09401619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201578881009829,"score_gpt":0.3665333340261384,"score_spread":0.2463754459251555,"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."}}