{"id":"W2057721506","doi":"10.1016/j.artres.2009.10.168","title":"6.3 DETERMINING EARLY CARDIOVASCULAR RISK PROFILES IN PAEDIATRIC RHEUMATIC DISEASE","year":2009,"lang":"en","type":"article","venue":"Artery Research","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Rheumatic disease; Disease; Intensive care medicine; Cardiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0008697113,0.0003033899,0.0003551758,0.0006464629,0.0002469393,0.0005328808,0.0002865558,0.0003457084,0.001452594],"category_scores_gemma":[0.002737244,0.000251494,0.0004904435,0.0006781216,0.0001868645,0.0002672231,0.0004675247,0.000442295,0.0003462142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000295068,"about_ca_system_score_gemma":0.0005965465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006083269,"about_ca_topic_score_gemma":0.006478634,"domain_scores_codex":[0.9994868,0.0001669086,0.00004705207,0.0001092081,0.0001090031,0.00008095741],"domain_scores_gemma":[0.9990789,0.0001866309,0.0004637968,0.00005300999,0.0001142763,0.0001033247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002772906,0.000008906146,0.9967885,0.00001181789,0.00001028635,0.00008270997,0.00003392391,0.00005779414,0.0001438601,0.00001094757,0.00005553929,0.002768051],"study_design_scores_gemma":[0.000003943129,0.00008435681,0.9983259,0.0000221486,0.00001623229,0.0008083589,0.00005861051,0.000217249,0.0001587418,0.00002100678,0.0002810639,0.000002424487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9966672,0.001138128,0.0005729185,0.0001039351,0.00001127495,0.00001510577,0.0005944516,0.00002111851,0.0008758542],"genre_scores_gemma":[0.9968055,0.0008212273,0.001266036,0.00003985277,0.00001410115,0.00001939012,0.0006376026,0.000005946605,0.000390258],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006083269,"threshold_uncertainty_score":0.01209575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.237767326745638,"score_gpt":0.5074888876032841,"score_spread":0.2697215608576461,"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."}}