{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001241621,0.00006224046,0.0002768776,0.00006769569,0.0000292406,0.000002380418,0.00003092271,0.00002752138,0.0001106554],"category_scores_gemma":[0.0001340776,0.000039384,0.00004029285,0.00004081426,0.0000491955,0.00006107909,0.00002597988,0.00006538071,0.000001792453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008519701,"about_ca_system_score_gemma":0.0003148775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001305951,"about_ca_topic_score_gemma":0.00001196869,"domain_scores_codex":[0.999112,0.00008568037,0.0004977507,0.00006409534,0.0001467623,0.00009375606],"domain_scores_gemma":[0.9990426,0.000099884,0.0003108658,0.0001094155,0.0004181516,0.00001903689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001185133,0.00008352873,0.6920213,0.000543716,0.00008641151,8.974189e-7,0.002104567,0.00001317979,0.01640129,0.00005017833,0.00001897971,0.2874908],"study_design_scores_gemma":[0.01764828,0.002547415,0.946275,0.002666965,0.0007832528,0.004456625,0.0004791112,0.003156618,0.01879823,0.0001941879,0.002844238,0.000150106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967828,0.002119439,0.0001170984,0.0001545311,0.0003663036,0.0004017248,0.000002156172,0.00000165377,0.00005427321],"genre_scores_gemma":[0.9985053,0.0002097384,0.001225116,0.000004427561,0.00001393093,0.000006719742,0.000001136152,0.000005672275,0.00002797981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873407,"threshold_uncertainty_score":0.1606033,"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."}}