{"id":"W2043166165","doi":"10.1007/s13244-010-0049-0","title":"MRI and CT in the diagnosis of coronary artery disease: indications and applications","year":2010,"lang":"en","type":"article","venue":"Insights into Imaging","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto; University Health Network; Mount Sinai Hospital","funders":"","keywords":"Medicine; Neuroradiology; Coronary artery disease; Interventional radiology; Radiology; Cardiac imaging; Cardiology; Neurology","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":[0.0001075387,0.00008065325,0.0001253624,0.0001349668,0.00008979681,0.00002800898,0.00005922633,0.00001269161,0.000007033471],"category_scores_gemma":[0.0001588565,0.00005882991,0.0000281478,0.0001492279,0.0002964148,0.00008642525,0.00004115519,0.0002018368,0.000003344848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008752808,"about_ca_system_score_gemma":0.00005021032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007210463,"about_ca_topic_score_gemma":0.00003413457,"domain_scores_codex":[0.9994364,0.00002418138,0.0001576245,0.0001668102,0.0001221131,0.00009286195],"domain_scores_gemma":[0.9990641,0.0004621781,0.00004439567,0.0002987111,0.00004277988,0.00008786841],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000550909,0.0001082397,0.9735942,0.00004558842,0.00001049616,0.00004485599,0.001242295,6.67386e-7,0.0003706054,0.003298802,0.0005726536,0.0207061],"study_design_scores_gemma":[0.0003798946,0.000007650647,0.9714659,0.00006437708,0.00009776153,0.0001302106,0.0003444978,0.0001608516,0.0002046138,0.004525062,0.02254628,0.00007283444],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845358,0.005807161,0.0006589545,0.00645743,0.0000787083,0.000476653,0.000009142821,0.00002870994,0.001947509],"genre_scores_gemma":[0.9978356,0.0004152778,0.0005928463,0.000806714,0.00009543663,0.0002146363,0.00002004643,0.000009292143,0.00001016303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02197362,"threshold_uncertainty_score":0.2399014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008598989521619145,"score_gpt":0.2707811274531064,"score_spread":0.2621821379314873,"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."}}