{"id":"W2978270572","doi":"10.3899/jrheum.190186","title":"Development of a Scoring Tool for Chronic Nonbacterial Osteomyelitis Magnetic Resonance Imaging and Evaluation of its Interrater Reliability","year":2019,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Orthopedic Infections and Treatments","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institutes of Health; Childhood Arthritis and Rheumatology Research Alliance; Parker Institute for Cancer Immunotherapy; Bristol-Myers Squibb; Children’s Hospital of Wisconsin Research Institute; Seattle Children's Research Institute; Oak Foundation","keywords":"Medicine; Inter-rater reliability; Magnetic resonance imaging; Osteomyelitis; Reliability (semiconductor); Chronic recurrent multifocal osteomyelitis; Radiology; Osteitis; Surgery; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.08014237,0.0009240355,0.00121175,0.005492324,0.001243653,0.001589924,0.001770416,0.0008021631,0.001730839],"category_scores_gemma":[0.1416331,0.0005100777,0.001743541,0.002509707,0.00128123,0.001948577,0.003223279,0.001070314,0.0008726469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0012022,"about_ca_system_score_gemma":0.003013453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001323057,"about_ca_topic_score_gemma":0.003053132,"domain_scores_codex":[0.9209045,0.0382228,0.01319252,0.003982209,0.02258155,0.00111636],"domain_scores_gemma":[0.837567,0.05798125,0.01527052,0.009401937,0.0783475,0.00143181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001204721,0.0006531777,0.5708167,0.00228225,0.0007852003,0.0005000156,0.0115761,0.004843949,0.01901084,0.00353167,0.008264906,0.3765305],"study_design_scores_gemma":[0.000577762,0.004735125,0.8249481,0.002048914,0.0008069609,0.004319268,0.01106138,0.09024166,0.02875313,0.006058365,0.02581511,0.0006343342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6409843,0.001788883,0.329906,0.0009218138,0.0007645753,0.00933828,0.001524382,0.001136516,0.01363536],"genre_scores_gemma":[0.6375735,0.0005346937,0.353507,0.0001373126,0.0001383303,0.005890087,0.0009374896,0.0001302611,0.001151418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08014237,"threshold_uncertainty_score":0.4238384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580750874042353,"score_gpt":0.2879600477198864,"score_spread":0.2721525389794629,"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."}}