{"id":"W2911630726","doi":"10.3899/jrheum.180147","title":"An Update on Arthritis in Canada — National and Provincial Data Regarding the Past, Present, and Future","year":2019,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Arthritis Society","keywords":"Medicine; Arthritis; Population; Demography; Community health; Physical therapy; Gerontology; Public health; Internal medicine; Environmental health; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.004419066,0.001180683,0.001301706,0.01396027,0.002337117,0.004028736,0.002256235,0.0009691817,0.009816961],"category_scores_gemma":[0.01392631,0.0006585725,0.001833128,0.02474662,0.000669831,0.001942536,0.001701467,0.00226216,0.002799024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04637067,"about_ca_system_score_gemma":0.145537,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9906498,"about_ca_topic_score_gemma":0.9935085,"domain_scores_codex":[0.9925469,0.0003870034,0.001034052,0.0003755841,0.004845401,0.0008111977],"domain_scores_gemma":[0.9622647,0.001015039,0.00137296,0.0004007601,0.03281636,0.002130087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001350387,0.00004335967,0.04139511,0.004952502,0.0002539611,0.0001460433,0.000467071,0.0005455557,0.0001709769,0.001200466,0.7560613,0.1946286],"study_design_scores_gemma":[0.00004770674,0.00002599466,0.1712714,0.005337213,0.0002956905,0.0002903371,0.0005767181,0.0003448336,0.0001947377,0.0004277895,0.8210772,0.0001103031],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01323477,0.2298953,0.003517715,0.02795299,0.006479321,0.0007337311,0.6533865,0.001232057,0.06356766],"genre_scores_gemma":[0.1231661,0.3145476,0.02250937,0.0130828,0.003121409,0.001129425,0.4948272,0.0004628414,0.02715314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04637067,"threshold_uncertainty_score":0.3364443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240168765125264,"score_gpt":0.263891865461143,"score_spread":0.2514901778098903,"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."}}