{"id":"W2163868824","doi":"10.1016/j.cjca.2015.01.011","title":"Echocardiography vs Cardiac Magnetic Resonance Imaging for the Diagnosis of Left Ventricular Thrombus: A Systematic Review","year":2015,"lang":"en","type":"review","venue":"Canadian Journal of Cardiology","topic":"Cardiac tumors and thrombi","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Medicine; Magnetic resonance imaging; Thrombus; Predictive value; Cardiology; Left ventricular thrombus; Radiology; Internal medicine; Myocardial infarction; Cardiac magnetic resonance imaging; Predictive value of tests; Positive predicative value; Cardiac imaging","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003421913,0.000533713,0.01104092,0.0007102807,0.0001089567,0.00002862336,0.0005899381,0.0002726157,0.00001247334],"category_scores_gemma":[0.001256887,0.0003296807,0.007577022,0.0006504658,0.0003760912,0.00005531005,0.0000365102,0.0006988891,0.000007606644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004232974,"about_ca_system_score_gemma":0.003823742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001870285,"about_ca_topic_score_gemma":0.00001774038,"domain_scores_codex":[0.995679,0.0009215691,0.001989002,0.0003409483,0.0004444362,0.0006250137],"domain_scores_gemma":[0.994769,0.0008873934,0.001383276,0.001043066,0.001181114,0.0007361509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001913625,0.000005349169,0.002481846,0.7515057,0.00581852,0.00147472,0.00005288322,0.000006714335,3.830741e-8,0.00008390225,0.1309487,0.1076025],"study_design_scores_gemma":[0.0002876179,0.0002309357,0.0001690156,0.255646,0.04681043,0.004847346,0.00003176678,4.54074e-7,1.394233e-7,0.00002863969,0.6917526,0.0001951287],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000002248759,0.9926448,0.0001075978,0.0002929849,0.001828171,0.004154494,0.0005679641,0.000006418196,0.0003953638],"genre_scores_gemma":[0.0002912092,0.9977424,0.00005617944,0.0002182717,0.001284076,0.0002432937,0.00004238759,0.00008943132,0.00003276884],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5608038,"threshold_uncertainty_score":0.9999155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614673042342953,"score_gpt":0.2956681153357474,"score_spread":0.2695213849123179,"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."}}