{"id":"W1996647193","doi":"10.1007/s13244-014-0361-1","title":"Multidetector computed tomography of mesenteric ischaemia","year":2014,"lang":"en","type":"article","venue":"Insights into Imaging","topic":"Abdominal vascular conditions and treatments","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; University Health Network; Western University; Mount Sinai Hospital","funders":"","keywords":"Medicine; Radiology; Mesenteric ischemia; Interventional radiology; Ischemia; Neuroradiology; Superior mesenteric artery; Mesenteric arteries; Vascular occlusion; Occlusion; Mesentery; Cardiology; Surgery; Artery","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":[0.0003293793,0.0006437132,0.0004156952,0.0009701733,0.0002509711,0.0005790879,0.0005607471,0.001243661,0.00578723],"category_scores_gemma":[0.001675985,0.0002038963,0.0002312726,0.0006511972,0.0004931232,0.0009071749,0.000463935,0.0009982921,0.001947545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000364954,"about_ca_system_score_gemma":0.0003589522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005730194,"about_ca_topic_score_gemma":0.0005154206,"domain_scores_codex":[0.9996628,0.00008664718,0.00004993822,0.00004622981,0.00007538297,0.00007896195],"domain_scores_gemma":[0.9993809,0.0001968416,0.0002082658,0.0000342489,0.00008608507,0.00009357386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"case_report","study_design_gemma":"observational","study_design_scores_codex":[0.00109772,0.0003157263,0.3030671,0.002391347,0.0001572972,0.4643867,0.0005047888,0.0008499238,0.01967775,0.003389034,0.02746571,0.1766969],"study_design_scores_gemma":[0.00006100553,0.000230006,0.105662,0.0009713108,0.00008301452,0.8550386,0.0001791815,0.0006413896,0.002358795,0.001214865,0.0335247,0.00003506435],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4024629,0.3733855,0.01151609,0.01985897,0.003107579,0.0004539115,0.00161131,0.0003743483,0.1872294],"genre_scores_gemma":[0.9410589,0.03943783,0.003823397,0.004956166,0.003834652,0.00007507225,0.0007387715,0.00005138903,0.006023919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00578723,"threshold_uncertainty_score":0.01936018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007025700106457279,"score_gpt":0.2465446721408653,"score_spread":0.2395189720344081,"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."}}