{"id":"W3123163825","doi":"10.1136/annrheumdis-2020-eular.3415","title":"SAT0053 ESTIMATING REAL-WORLD UNMET NEEDS FOR REACHING REMISSION IN THE FIRST YEAR FOLLOWING EARLY RA DIAGNOSIS: RESULTS FROM THE CANADIAN EARLY ARTHRITIS COHORT (CATCH)","year":2020,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University; University of Toronto; Southlake Regional Health Center; University of Manitoba; Université Laval; McGill University; University of Calgary; Université de Sherbrooke; Canadian Arthritis Network","funders":"","keywords":"Medicine; Cohort; Logistic regression; Internal medicine; Bristol-Myers; Rheumatoid arthritis; Disease; Clinical Practice; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002292931,0.001223453,0.001027139,0.001331652,0.001785996,0.001683007,0.002687657,0.001393176,0.005554648],"category_scores_gemma":[0.00877161,0.0005626731,0.003193306,0.003666705,0.0003579727,0.0005861363,0.001870867,0.001710323,0.0009688456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01208017,"about_ca_system_score_gemma":0.02336674,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9816699,"about_ca_topic_score_gemma":0.9821097,"domain_scores_codex":[0.9986556,0.0002226231,0.00009491931,0.0002272668,0.0003633189,0.0004363666],"domain_scores_gemma":[0.9961637,0.0004743664,0.000579667,0.0003138422,0.001719694,0.0007487472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00180111,0.0001289967,0.9559554,0.0002667287,0.00171064,0.00008005607,0.0002331019,0.002073165,0.000112675,0.0004400519,0.02895648,0.008241625],"study_design_scores_gemma":[0.0001940684,0.0001038828,0.9920224,0.00008970322,0.0003767477,0.00005703576,0.0003258263,0.001937332,0.0000479523,0.0001055345,0.004706388,0.00003306957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6188106,0.001882629,0.0006004645,0.001256194,0.0001217421,0.0001682031,0.3739604,0.0001185135,0.003081324],"genre_scores_gemma":[0.7815626,0.001096925,0.001905692,0.000480335,0.00006435643,0.0003246807,0.2097892,0.00005254784,0.00472357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0183301,"threshold_uncertainty_score":0.08764815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984917329652611,"score_gpt":0.3096580999270581,"score_spread":0.259808926630532,"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."}}