{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008336226,0.0001911455,0.0003740551,0.001557049,0.0002591615,0.0005154,0.0003693445,0.0005028728,0.0007667255],"category_scores_gemma":[0.008608981,0.0002435259,0.0002509802,0.0009125824,0.0005672811,0.0006647501,0.0004195251,0.0003773554,0.0001565978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001872501,"about_ca_system_score_gemma":0.0002883476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001624187,"about_ca_topic_score_gemma":0.001607479,"domain_scores_codex":[0.9985716,0.0004150106,0.0002259675,0.00016316,0.000411047,0.0002131535],"domain_scores_gemma":[0.9923905,0.002410582,0.003618319,0.0002882315,0.0005752384,0.0007172854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003503867,0.000009830713,0.9979953,0.000006820858,0.000009041315,0.0006457733,0.00003077049,0.00001361308,0.0001355698,0.000007351091,0.00002459379,0.001086301],"study_design_scores_gemma":[0.000002598012,0.0000675156,0.9908323,0.00001128793,0.00001660733,0.008640988,0.0001606769,0.00009193731,0.0000830426,0.00001260079,0.00007661641,0.000003763065],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990911,0.0005965281,0.00006237322,0.00001969356,0.000003916325,0.000003334358,0.00002931649,0.00000195611,0.0001917511],"genre_scores_gemma":[0.999541,0.0002653787,0.00007830409,0.00001033066,0.00001497751,0.000002318654,0.00006360925,0.00000114441,0.00002282722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001624187,"threshold_uncertainty_score":0.004408658,"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."}}