{"id":"W2952372713","doi":"10.1136/annrheumdis-2019-eular.3547","title":"THU0598 ROLE OF DUAL-ENERGY CT AS A SCREENING TOOL FOR CORONARY GOUT","year":2019,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Vancouver General Hospital","funders":"","keywords":"Medicine; Gout; Hyperuricemia; Asymptomatic; Uric acid; Internal medicine; Radiology; Surgery","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":[0.001300773,0.0005641827,0.0005918042,0.001193044,0.0004285413,0.001824159,0.0006635942,0.001476105,0.008712068],"category_scores_gemma":[0.002160759,0.0002313182,0.0005357486,0.0008275991,0.0003692885,0.0005865828,0.000381055,0.001113854,0.002124236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561186,"about_ca_system_score_gemma":0.0007435771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077842,"about_ca_topic_score_gemma":0.001118774,"domain_scores_codex":[0.9994645,0.0002082846,0.00004226141,0.00008224615,0.0001366676,0.00006604884],"domain_scores_gemma":[0.998834,0.0004270619,0.0001258266,0.00008055531,0.0003089332,0.0002236169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01617375,0.002003518,0.2485371,0.0009456624,0.0008966349,0.004346833,0.0001768425,0.0007891064,0.03056947,0.00321672,0.02777298,0.6645713],"study_design_scores_gemma":[0.003470652,0.01081694,0.6654036,0.00300205,0.002843721,0.02565629,0.0006104016,0.01416193,0.02268844,0.007775568,0.2433107,0.0002596853],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6639372,0.1649148,0.005343235,0.01739346,0.004237654,0.0003274951,0.003692395,0.0005063818,0.1396475],"genre_scores_gemma":[0.9505663,0.01908278,0.01141715,0.002270225,0.00283973,0.0001232682,0.002401059,0.000110124,0.01118932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008712068,"threshold_uncertainty_score":0.02914482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178006449621785,"score_gpt":0.2943344997223047,"score_spread":0.2725544352260869,"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."}}