{"id":"W4389958045","doi":"10.1161/circ.148.suppl_1.13615","title":"Abstract 13615: Diagnostic Accuracy of Cardiac MRI for Detecting Wall Motion Abnormalities and Coronary Artery Stenosis - A Systematic Review and Umbrella Meta-Analysis","year":2023,"lang":"en","type":"review","venue":"Circulation","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Diagnostic odds ratio; Coronary artery disease; Meta-analysis; Cardiology; Internal medicine; Odds ratio; Confidence interval; Gold standard (test); Likelihood ratios in diagnostic testing; Stenosis; Pre- and post-test probability; Radiology","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":[0.02127041,0.003169742,0.0209115,0.01068333,0.001011887,0.004564527,0.002841925,0.003117825,0.006868057],"category_scores_gemma":[0.0501086,0.001633141,0.03987045,0.009749552,0.001092051,0.00265663,0.001987908,0.002339112,0.0007704727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002574175,"about_ca_system_score_gemma":0.003765083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007319919,"about_ca_topic_score_gemma":0.01496771,"domain_scores_codex":[0.9808651,0.008766988,0.005630099,0.002022204,0.002228993,0.0004867098],"domain_scores_gemma":[0.9660888,0.02433886,0.005864256,0.001239159,0.002081281,0.000387567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001157259,0.0000187185,0.005337635,0.354689,0.6308644,0.0001367791,0.00007125623,0.0002676275,0.0002663064,0.0001226569,0.0008848935,0.006183379],"study_design_scores_gemma":[0.0003734683,0.00008413585,0.003930365,0.02775184,0.9661066,0.00008159184,0.00002725246,0.0001687214,0.00007945285,0.0001842838,0.001191433,0.00002077022],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004757466,0.9905639,0.001128383,0.0004043105,0.0002703423,0.000496314,0.001860406,0.00006939051,0.0004494404],"genre_scores_gemma":[0.2448805,0.7359106,0.007233876,0.002810638,0.0007998866,0.003569245,0.003576738,0.0001469999,0.001071434],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.02127041,"threshold_uncertainty_score":0.11249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1169884576785788,"score_gpt":0.3563197074028548,"score_spread":0.2393312497242761,"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."}}