{"id":"W2742563494","doi":"10.1002/acr.23340","title":"Toward Establishing a Standardized Magnetic Resonance Imaging Scoring System for Temporomandibular Joints in Juvenile Idiopathic Arthritis","year":2017,"lang":"en","type":"article","venue":"Arthritis Care & Research","topic":"Temporomandibular Joint Disorders","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Children's Hospital of Eastern Ontario; Alberta Children's Hospital; Hospital for Sick Children","funders":"Hospital for Sick Children","keywords":"Magnetic resonance imaging; Juvenile; Arthritis; Temporomandibular joint; Medicine; Orthodontics; Nuclear magnetic resonance; Radiology; Physics; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.06009372,0.001041798,0.0008712636,0.005164099,0.001095479,0.002197051,0.00218935,0.0009997427,0.001024367],"category_scores_gemma":[0.07232857,0.0004074301,0.001010479,0.002384144,0.001338673,0.002176645,0.002531149,0.001687833,0.000834809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00220641,"about_ca_system_score_gemma":0.006698436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003790411,"about_ca_topic_score_gemma":0.005017911,"domain_scores_codex":[0.9708951,0.01574038,0.005427084,0.001467231,0.005897633,0.0005727143],"domain_scores_gemma":[0.9358437,0.01334293,0.009521365,0.004364606,0.03556548,0.001361814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004776283,0.0008266327,0.4199034,0.001501337,0.0002782221,0.0004932666,0.004088515,0.005203255,0.02471144,0.004857007,0.01493628,0.5227231],"study_design_scores_gemma":[0.000505578,0.0044914,0.8218768,0.003659815,0.0006550957,0.003128439,0.01059535,0.06234406,0.02644211,0.009656702,0.05619851,0.0004462093],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5243496,0.005023425,0.4362441,0.007029039,0.0009604524,0.009742191,0.001500574,0.001433343,0.01371741],"genre_scores_gemma":[0.422731,0.0008870303,0.5703208,0.0003790309,0.0001882212,0.002880336,0.001652863,0.0001160429,0.0008447443],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06009372,"threshold_uncertainty_score":0.3178098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07085759795136441,"score_gpt":0.4068575626133145,"score_spread":0.33599996466195,"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."}}