{"id":"W1964115154","doi":"10.1097/rlu.0b013e3181662b95","title":"Complementary Roles of Low-dose SPECT-CT and High-resolution Volume CT for Detection of Coronary Artery Disease","year":2008,"lang":"en","type":"article","venue":"Clinical Nuclear Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Coronary artery disease; Radiology; Myocardial perfusion imaging; Stenosis; Circumflex; Nuclear medicine; Technetium Tc 99m Sestamibi; Artery; Perfusion; Cardiology","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":[0.002159859,0.001050313,0.001060077,0.002827687,0.0003275212,0.001084231,0.000989149,0.001891632,0.004161222],"category_scores_gemma":[0.006859096,0.0007300434,0.0005576544,0.000654622,0.0008824735,0.00161544,0.0007930426,0.001435869,0.001186736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002950072,"about_ca_system_score_gemma":0.0004880223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007356444,"about_ca_topic_score_gemma":0.001272348,"domain_scores_codex":[0.9993216,0.000344114,0.00006173456,0.00009295035,0.00008396924,0.00009569462],"domain_scores_gemma":[0.9963843,0.002279228,0.0001420118,0.0002887756,0.0004199969,0.0004856523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01214467,0.002064168,0.3320448,0.0009256566,0.0004681645,0.1418704,0.0005223582,0.002457104,0.1057374,0.001743791,0.005798843,0.3942226],"study_design_scores_gemma":[0.002422592,0.005757786,0.3970184,0.00125447,0.001353743,0.4900898,0.001409254,0.03789182,0.04056834,0.006893738,0.01491723,0.0004229403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8954307,0.05327935,0.02001804,0.004580968,0.0005106802,0.0002707669,0.0003102292,0.0006952572,0.024904],"genre_scores_gemma":[0.9570933,0.009976749,0.028933,0.001138821,0.001232592,0.00006907476,0.0002476393,0.00006795861,0.001240834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004161222,"threshold_uncertainty_score":0.01392061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03571627492767623,"score_gpt":0.323338225361589,"score_spread":0.2876219504339128,"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."}}