{"id":"W2162813691","doi":"10.2147/oarrr.s92630","title":"The use of administrative health care databases to identify patients with rheumatoid arthritis","year":2015,"lang":"en","type":"article","venue":"Open Access Rheumatology Research and Reviews","topic":"Rheumatoid Arthritis Research and Therapies","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Capital District Health Authority; Queen Elizabeth II Health Sciences Centre; Dalhousie University","funders":"Health Research Board","keywords":"Rheumatoid arthritis; Medicine; Health care; Database; Medical emergency; Computer science; Political science; Internal medicine","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":[0.03157384,0.0005050356,0.0008149488,0.004972163,0.0004983824,0.003003305,0.001331128,0.0007402202,0.0004303954],"category_scores_gemma":[0.1698837,0.0003673524,0.0007843515,0.004358751,0.0004382534,0.001520949,0.001323306,0.0006447214,0.000205795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009201589,"about_ca_system_score_gemma":0.001455514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006192485,"about_ca_topic_score_gemma":0.005320062,"domain_scores_codex":[0.9494661,0.03405543,0.004919394,0.002566843,0.008218299,0.0007740308],"domain_scores_gemma":[0.8241124,0.1259288,0.02847689,0.008595062,0.01163215,0.001254673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002825788,0.00008924164,0.9789835,0.0001270698,0.000539115,0.00003853735,0.0001505233,0.001057469,0.00007599633,0.0001885234,0.0007708136,0.01769656],"study_design_scores_gemma":[0.0001790529,0.0003925842,0.957426,0.0004679467,0.0004737873,0.0005635712,0.0006624534,0.03471895,0.0008824018,0.001051209,0.003133186,0.00004890738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761305,0.003742281,0.009508364,0.001255814,0.0001117663,0.0003276796,0.005160952,0.0001172877,0.0036455],"genre_scores_gemma":[0.9888814,0.0005684278,0.006513686,0.0002304321,0.00006166134,0.0001325731,0.003523843,0.000008455328,0.00007945596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03157384,"threshold_uncertainty_score":0.1669804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4278305023071797,"score_gpt":0.5452632106859392,"score_spread":0.1174327083787595,"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."}}