{"id":"W3095080509","doi":"10.1136/annrheumdis-2019-eular.2577","title":"SAT0628 VALIDATION OF METHODS FOR PREDICTING LONG-TERM OUTCOME IN JUVENILE IDIOPATHIC ARTHRITIS: RESULTS FOR CANADIAN AND NORDIC PREDICTION MODELS IN THE NORDIC COHORT","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Receiver operating characteristic; Cohort; Medicine; Outcome (game theory); Prospective cohort study; Statistics; Artificial intelligence; Pediatrics; Internal medicine; Mathematics; Computer science","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":[0.01872866,0.002775282,0.00177652,0.001526973,0.002470862,0.002360262,0.002470272,0.001362992,0.002774574],"category_scores_gemma":[0.02035638,0.0006036095,0.002768378,0.001392899,0.0008711747,0.0007109775,0.002008818,0.002546777,0.001351572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005081252,"about_ca_system_score_gemma":0.01603156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7187834,"about_ca_topic_score_gemma":0.7187783,"domain_scores_codex":[0.9955171,0.001693653,0.0002335681,0.0009701534,0.001092919,0.0004927659],"domain_scores_gemma":[0.9877566,0.004440387,0.0005874353,0.001281868,0.005009503,0.0009241452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01050259,0.0009908314,0.7450837,0.000601082,0.00715038,0.0003162467,0.0005943288,0.0819824,0.001909775,0.001202013,0.06558293,0.0840838],"study_design_scores_gemma":[0.002092772,0.001142606,0.67205,0.000611834,0.003529646,0.0005352158,0.0009856318,0.2993742,0.002099735,0.00154847,0.01575298,0.000276901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9445703,0.004841196,0.008760398,0.001344754,0.0006918334,0.0002021606,0.03433195,0.0009984983,0.004258841],"genre_scores_gemma":[0.9132671,0.001302817,0.01176849,0.0003098462,0.0001515736,0.0001568005,0.06783038,0.00039829,0.004814821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7187834,"threshold_uncertainty_score":0.5657454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06976649163572546,"score_gpt":0.3775872533319766,"score_spread":0.3078207616962512,"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."}}