{"id":"W2412832182","doi":"10.1136/annrheumdis-2015-eular.1610","title":"AB0474 Identification of Tuberculosis Incidence Through the Use of a Validated Claims-Based Algorithm Among Rheumatoid Arthritis Patients Treated with Disease-Modifying Antirheumatic Drugs","year":2015,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Diagnosis code; Rheumatoid arthritis; Algorithm; Incidence (geometry); Internal medicine; Tuberculosis; Pediatrics; Population; Pathology","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":[0.001282592,0.0005301825,0.0008284407,0.002771046,0.0005430366,0.001455042,0.0007940756,0.000971522,0.001731743],"category_scores_gemma":[0.004797591,0.0003881595,0.001052403,0.003267508,0.0002811513,0.0005929747,0.0005173955,0.0008369808,0.0004885331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007240198,"about_ca_system_score_gemma":0.0007615874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102353,"about_ca_topic_score_gemma":0.009616094,"domain_scores_codex":[0.9978022,0.0006316246,0.0003728044,0.0003833158,0.0006291567,0.00018091],"domain_scores_gemma":[0.9958758,0.000911488,0.002273892,0.0002007956,0.0005498366,0.0001883036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003042821,0.00008597155,0.9960768,0.0000299168,0.0001926808,0.00004327228,0.00001936757,0.0002568924,0.0003807116,0.00005048332,0.0004083,0.002151371],"study_design_scores_gemma":[0.00003705013,0.000123621,0.9957851,0.00002568932,0.0001386569,0.000330802,0.0000425592,0.002777797,0.0002686671,0.00007311718,0.0003887563,0.000008143214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915672,0.001227248,0.0006478485,0.0001982004,0.00004549737,0.00004599335,0.003632691,0.00005335316,0.002581978],"genre_scores_gemma":[0.9964417,0.0002487857,0.0006435428,0.0001052638,0.00004066125,0.000024281,0.002165667,0.000006653217,0.0003234702],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0102353,"threshold_uncertainty_score":0.02035147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08011177952809961,"score_gpt":0.3331529191425401,"score_spread":0.2530411396144405,"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."}}