{"id":"W2790340314","doi":"10.1371/journal.pone.0191087","title":"Environmental epidemiology of Kawasaki disease: Linking disease etiology, pathogenesis and global distribution","year":2018,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Kawasaki Disease and Coronary Complications","field":"Medicine","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Epidemiology; Kawasaki disease; Incidence (geometry); Context (archaeology); Disease; Population; Pathogenesis; Etiology; Environmental health; Immunology; Medicine; Environmental epidemiology; Demography; Biology; Pathology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001137021,0.0005767923,0.0002810232,0.001409074,0.0005326155,0.000950394,0.0005087332,0.0002877704,0.001191861],"category_scores_gemma":[0.003610913,0.0001583305,0.0005042588,0.001360611,0.0007958656,0.0006669006,0.001182799,0.0003971107,0.00006196523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001697022,"about_ca_system_score_gemma":0.003431758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1305671,"about_ca_topic_score_gemma":0.1676587,"domain_scores_codex":[0.9993742,0.000241616,0.0000531572,0.0001233212,0.0001093294,0.00009832236],"domain_scores_gemma":[0.9987846,0.0003122251,0.0003996181,0.00009766008,0.0002738809,0.0001320852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005682805,0.00002255532,0.982655,0.0001006971,0.0001699803,0.00009831646,0.0002397916,0.002793424,0.0004693441,0.00167646,0.0001678411,0.01154971],"study_design_scores_gemma":[0.00000740617,0.0001094162,0.9841585,0.0001298134,0.0003533392,0.0003871339,0.0007138454,0.008277949,0.0002414924,0.004140592,0.001465783,0.00001463934],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964989,0.003837972,0.02371127,0.001550768,0.00004139041,0.000203028,0.001027187,0.00007552558,0.004563842],"genre_scores_gemma":[0.9945462,0.0009723333,0.003976653,0.00005099325,0.00002158781,0.00002071747,0.0002280558,0.000003921299,0.0001795985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1305671,"threshold_uncertainty_score":0.2596143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05277946511592881,"score_gpt":0.2837395014291633,"score_spread":0.2309600363132345,"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."}}