{"id":"W4298620837","doi":"10.3899/jrheum.220382","title":"Reliability of the Pediatric Specific Musculoskeletal Ultrasound Scoring Systems for the Elbow, Wrist, and Finger Joints","year":2022,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Autoimmune and Inflammatory Disorders Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Eastern Ontario; Université Laval","funders":"National Center for Advancing Translational Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; Cincinnati Children's Hospital Medical Center; National Institutes of Health; Childhood Arthritis and Rheumatology Research Alliance; National Institute on Minority Health and Health Disparities; University of Cincinnati","keywords":"Medicine; Wrist; Elbow; Reliability (semiconductor); Intraclass correlation; Physical therapy; Tenosynovitis; Synovitis; Physical medicine and rehabilitation; Arthritis; Surgery; Internal medicine; Psychometrics","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":[0.003264969,0.0001002584,0.000443932,0.00008440242,0.0004865352,0.00001099837,0.0003445405,0.00004287783,0.00008964619],"category_scores_gemma":[0.0007416966,0.00004534174,0.0001897128,0.0002112125,0.0003021881,0.00005435091,0.0001726756,0.0006289615,0.000001612455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000537371,"about_ca_system_score_gemma":0.0002176959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008795829,"about_ca_topic_score_gemma":0.000002265278,"domain_scores_codex":[0.9980946,0.0004663535,0.0007098708,0.00009397687,0.0004134871,0.0002217623],"domain_scores_gemma":[0.9969808,0.001764377,0.0005999006,0.0004130919,0.0002031609,0.00003866446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001312094,0.0002311321,0.9719222,0.0009661432,0.0003146978,0.000006629464,0.002885882,0.001023225,0.002616004,0.0009151364,0.01671227,0.001094652],"study_design_scores_gemma":[0.006139682,0.002125777,0.8891479,0.0002054447,0.0008308977,0.02598769,0.02077738,0.001313781,0.0002262006,0.001290337,0.05165451,0.0003003324],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826019,0.01460717,0.0001698336,0.001398836,0.0006090645,0.000508821,0.000005317171,0.00000427081,0.00009474007],"genre_scores_gemma":[0.9930952,0.006618703,0.00001689364,0.00002559916,0.00003512255,0.00001573299,5.041544e-7,0.00001407392,0.0001782356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08277417,"threshold_uncertainty_score":0.3742085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793654463138511,"score_gpt":0.2740519686412549,"score_spread":0.2561154240098698,"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."}}