{"id":"W4200209637","doi":"10.21203/rs.3.rs-1070383/v1","title":"Predictive Factors for the Long-Term Clinical Course in Patients with Rheumatoid Arthritis Receiving Second-Line Anti-Rheumatic Drugs in Real-World Practice: An Analysis Using Disease Activity Trajectory-Based Clustering Approach","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Ministry of Science and ICT, South Korea; Korea Health Industry Development Institute; National Research Foundation of Korea; National Research Foundation; Asan Institute for Life Sciences, Asan Medical Center; Ministry of Trade, Industry and Energy","keywords":"Medicine; Rheumatoid arthritis; Internal medicine; Rheumatology; Cohort; Disease; Physical therapy","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001513804,0.0003180408,0.0004422117,0.001384991,0.000365196,0.000750589,0.0005263938,0.0004741344,0.001009696],"category_scores_gemma":[0.00414878,0.0002147941,0.00128215,0.001910163,0.0001861841,0.0004676228,0.0005443183,0.0006032216,0.0001940791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004539793,"about_ca_system_score_gemma":0.0007002538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009020586,"about_ca_topic_score_gemma":0.005491016,"domain_scores_codex":[0.9989955,0.0004409561,0.0001244178,0.0002063202,0.0001275543,0.000105243],"domain_scores_gemma":[0.9969121,0.0008925542,0.001269502,0.0002757223,0.0003209747,0.0003290655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194698,0.00002048426,0.9975188,0.000009199177,0.0001681534,0.00003637484,0.000041186,0.0006857755,0.00007189593,0.0000305182,0.00007670373,0.001221635],"study_design_scores_gemma":[0.00002073041,0.0001277194,0.9676182,0.00001857469,0.0001380731,0.0002258849,0.0003673122,0.03099528,0.00006977538,0.0001865202,0.0002192526,0.00001268878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980479,0.0001995417,0.001116201,0.00007727142,0.000006182554,0.000014308,0.0004017553,0.000006855228,0.000130001],"genre_scores_gemma":[0.999102,0.00004399053,0.0003167228,0.000006805136,0.000003794483,0.000007574971,0.000481765,0.00000172101,0.0000356517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009020586,"threshold_uncertainty_score":0.01793617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06825127472430083,"score_gpt":0.4168473633471328,"score_spread":0.348596088622832,"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."}}