{"id":"W2940519132","doi":"10.1371/journal.pone.0216075","title":"Preventing rheumatoid arthritis: Preferences for and predicted uptake of preventive treatments among high risk individuals","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; Centre for Advancing Health Outcomes; Research Canada; St. Paul's Hospital; University of British Columbia","funders":"Eli Lilly Canada; H. Lundbeck A/S; Arthritis Society; Lundbeck Canada; Merck Canada; AstraZeneca Canada; F. Hoffmann-La Roche; Pfizer Canada; Novartis Pharmaceuticals Canada; Michael Smith Health Research BC; GlaxoSmithKline; Pfizer; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Rheumatoid arthritis; Logistic regression; Health care; Preference; Internal medicine; Family medicine; Physical therapy","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":[0.004329029,0.000233817,0.0003116938,0.0004487147,0.0002466457,0.0007174952,0.0001813768,0.0008346225,0.002905362],"category_scores_gemma":[0.0143933,0.0001738824,0.0007192992,0.0003329574,0.0003393809,0.0004093569,0.0003348731,0.0006556585,0.0002670766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003019488,"about_ca_system_score_gemma":0.0002441676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002240895,"about_ca_topic_score_gemma":0.001984218,"domain_scores_codex":[0.9979213,0.001284789,0.0001568003,0.0002101719,0.0002983604,0.0001286457],"domain_scores_gemma":[0.9874277,0.00839022,0.002846458,0.0003415214,0.0002827332,0.0007112971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001131269,0.0006622625,0.9885312,0.00008526645,0.0002663232,0.00004418809,0.0005781443,0.0005669934,0.0004698976,0.00006158803,0.00009984985,0.007503116],"study_design_scores_gemma":[0.0001054782,0.001547645,0.993261,0.00003957661,0.0001403866,0.0002050358,0.0009349113,0.003066945,0.0002534905,0.000228471,0.0001994701,0.0000175225],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993836,0.00009565466,0.0001203526,0.00007202497,0.000001413504,0.00001061065,0.00004800328,0.000001705704,0.0002666822],"genre_scores_gemma":[0.9996797,0.00002999164,0.0001695507,0.00002407893,0.000002032261,0.000007571556,0.00003257136,3.791591e-7,0.00005418509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004329029,"threshold_uncertainty_score":0.02289432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02267511943593092,"score_gpt":0.2441515119050816,"score_spread":0.2214763924691507,"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."}}