{"id":"W2642555623","doi":"10.1136/bmjopen-2016-013977","title":"Filling the gaps in SARDs research: collection and linkage of administrative health data and self-reported survey data for a general population-based cohort of individuals with and without diagnoses of systemic autoimmune rheumatic disease (SARDs) from British Columbia, Canada","year":2017,"lang":"en","type":"article","venue":"BMJ Open","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada; University of British Columbia","funders":"Canadian Institutes of Health Research; Canadian Arthritis Network; Michael Smith Health Research BC","keywords":"Medicine; Cohort; Population; Cohort study; Family medicine; Health care; Demography; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01230292,0.0005149762,0.0009565285,0.003586405,0.00350634,0.003054249,0.002969507,0.0009113125,0.001384624],"category_scores_gemma":[0.03355337,0.000829247,0.0006224966,0.01187339,0.001116126,0.0007279595,0.003090648,0.0011487,0.0006148554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02544583,"about_ca_system_score_gemma":0.05634451,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9809676,"about_ca_topic_score_gemma":0.9838887,"domain_scores_codex":[0.9800258,0.005300225,0.002343537,0.002388367,0.007556959,0.002385191],"domain_scores_gemma":[0.966702,0.002987345,0.005928502,0.00404008,0.01796665,0.002375324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008324297,0.00007564476,0.9833165,0.0001928034,0.0001256713,0.00008769072,0.001661151,0.0001803294,0.000166527,0.000151705,0.005945789,0.008012976],"study_design_scores_gemma":[0.00002881804,0.00003457245,0.9925736,0.0002296003,0.00005916247,0.00006076815,0.002211488,0.0005620684,0.0001027135,0.00005653571,0.004057767,0.00002275721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424136,0.002189161,0.003484364,0.001998017,0.0001223163,0.00285521,0.04211332,0.00006593364,0.004758025],"genre_scores_gemma":[0.9513298,0.001812528,0.008607556,0.001139237,0.00005984269,0.002778366,0.03209775,0.00003728176,0.002137562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02544583,"threshold_uncertainty_score":0.1846233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1977547528774256,"score_gpt":0.4477155041842688,"score_spread":0.2499607513068432,"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."}}