{"id":"W2163944658","doi":"10.1177/1708538112473973","title":"Prevalence and significance of extravascular incidental findings on computed tomographic angiography and magnetic resonance angiography","year":2013,"lang":"en","type":"article","venue":"Vascular","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Clinical significance; Radiology; Computed tomographic angiography; Statistical significance; Magnetic resonance angiography; Angiography; Retrospective cohort study; Magnetic resonance imaging; Conventional angiography; Population; Computed tomographic; Computed tomography angiography; Computed tomography; Surgery; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002266675,0.0002226967,0.0003904307,0.000541703,0.00007101818,0.00004020083,0.00008353926,0.00009095704,0.00002988898],"category_scores_gemma":[0.00008080107,0.0002074122,0.0006570369,0.0007797551,0.0004237494,0.00009426283,0.00005393202,0.0001548177,0.000006178241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007862003,"about_ca_system_score_gemma":0.00001667713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002579458,"about_ca_topic_score_gemma":0.000001420215,"domain_scores_codex":[0.9985411,0.00006444045,0.0002579132,0.0004456354,0.000409198,0.0002817831],"domain_scores_gemma":[0.9990065,0.0001693013,0.00005385622,0.0004377151,0.0001324126,0.0002002028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002070744,0.0001197846,0.9908285,0.0003363641,0.0001814769,0.00002020684,0.0001431428,0.000003179051,0.001965347,0.0001077087,0.0007620041,0.005511553],"study_design_scores_gemma":[0.001285033,0.0004324456,0.9950712,0.0004888989,0.0004658623,0.0000462277,0.00004088502,0.0001494882,0.0007903099,0.0001339779,0.0008879062,0.000207726],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.843312,0.1555769,0.00009697946,0.00008453483,0.00006253824,0.0006641073,0.00001500221,0.00005772001,0.0001302254],"genre_scores_gemma":[0.9941155,0.004091113,0.001420818,0.0002197051,0.00004523112,0.00005551281,0.000009192761,0.00002614844,0.00001674293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1514858,"threshold_uncertainty_score":0.8458024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005451776400805058,"score_gpt":0.2066921919758191,"score_spread":0.2012404155750141,"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."}}