{"id":"W2551904347","doi":"10.1136/annrheumdis-2016-eular.4483","title":"SAT0055 Treatment Response To Conventional Disease Modifying Anti-Rheumatic Drugs (Dmards) and Biologics in Seropositive and Seronegative Patients with Early Rheumatoid Arthritis: Results from Catch (Canadian Early Arthritis Cohort)","year":2016,"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; Southlake Regional Health Center; University of Manitoba; Université de Montréal; Centre Hospitalier Universitaire de Sherbrooke; University of British Columbia; Public Health Ontario; University of Toronto","funders":"","keywords":"Medicine; Rheumatoid arthritis; Internal medicine; Rheumatoid factor; Cohort; Methotrexate; Prospective cohort study; Rheumatology; Arthritis","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":[0.000540769,0.0005516814,0.0007027116,0.0008446826,0.0005948158,0.0008553406,0.0009951997,0.0006972233,0.003023139],"category_scores_gemma":[0.001256985,0.0003338025,0.001303732,0.001842748,0.000310085,0.0003605619,0.0004647328,0.0008512776,0.0003627821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002659426,"about_ca_system_score_gemma":0.002711029,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.476833,"about_ca_topic_score_gemma":0.570635,"domain_scores_codex":[0.9994424,0.00005002215,0.00003434469,0.0001210238,0.0001742196,0.0001780662],"domain_scores_gemma":[0.9992454,0.00008593732,0.0002330449,0.00004510119,0.0001825331,0.0002080777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008076387,0.0001478978,0.9782147,0.00009478983,0.001072776,0.00008085357,0.00007030197,0.0002065192,0.0007688393,0.00006996139,0.003470201,0.007726836],"study_design_scores_gemma":[0.0001892954,0.0001549579,0.9985505,0.0000109713,0.0002119814,0.00005433147,0.00007397659,0.00009286463,0.00004663973,0.00001932117,0.0005850529,0.00001017945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752661,0.002317295,0.00005685849,0.0001565113,0.00004033541,0.00003598144,0.01971767,0.00002225513,0.002387],"genre_scores_gemma":[0.9794479,0.0006514671,0.000136494,0.0001906335,0.00003016064,0.00003080905,0.01799019,0.000008477395,0.001513947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.523167,"threshold_uncertainty_score":0.948115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01586358344558726,"score_gpt":0.2562461722352776,"score_spread":0.2403825887896903,"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."}}