{"id":"W6960789806","doi":"10.1371/journal.pone.0210833.t001","title":"Counts and incidence of immune thrombocytopenia, Kawasaki disease and multiple sclerosis among Ontario children, 2005–2014.","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incidence (geometry); Multiple sclerosis; Kawasaki disease; Immune system; Disease; Immune status","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":[0.0007018506,0.0009149627,0.001493051,0.002606431,0.001229671,0.001434382,0.002548395,0.001028158,0.03043226],"category_scores_gemma":[0.006514387,0.0006600718,0.001431748,0.007816698,0.0003594829,0.0005546123,0.001351853,0.0009046277,0.006264863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008379922,"about_ca_system_score_gemma":0.01516023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9251974,"about_ca_topic_score_gemma":0.9598061,"domain_scores_codex":[0.9992722,0.00004538939,0.0001065299,0.0001488952,0.0002329356,0.000194218],"domain_scores_gemma":[0.995874,0.0005483897,0.0006664403,0.0003181943,0.002034761,0.0005581939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002172675,0.00001403164,0.03136795,0.002360244,0.0002888141,0.00004516963,0.0001300506,0.000391203,0.0001143503,0.0004896111,0.9603218,0.004259362],"study_design_scores_gemma":[0.0009827472,0.0000301864,0.4967167,0.002469083,0.0006893752,0.0001884112,0.0005085471,0.0008077965,0.0002767734,0.0006557882,0.4965777,0.00009681118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005880413,0.0001476148,0.0000186662,0.00006616903,0.000009903782,0.000005513505,0.9986894,0.00003183684,0.0004429474],"genre_scores_gemma":[0.00836304,0.0004336307,0.0002374565,0.0001056597,0.00001802284,0.0001135433,0.9888149,0.0000427126,0.001871037],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07480258,"threshold_uncertainty_score":0.1504862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267674344015937,"score_gpt":0.2173471746506906,"score_spread":0.1905797402490969,"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."}}