{"id":"W3012517583","doi":"10.1053/j.semnuclmed.2020.02.016","title":"PET and SPECT Tracers for Myocardial Perfusion Imaging","year":2020,"lang":"en","type":"review","venue":"Seminars in Nuclear Medicine","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Myocardial perfusion imaging; Medicine; Coronary artery disease; Perfusion; Nuclear medicine; Spect imaging; Cardiac PET; Coronary circulation; Blood flow; Perfusion scanning; Positron emission tomography; Cardiac imaging; Medical physics; Radiology; Cardiology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00123303,0.002030151,0.002633497,0.003951427,0.0002331421,0.001453863,0.001310266,0.002157727,0.009405923],"category_scores_gemma":[0.00164219,0.0005696325,0.0009344625,0.003954136,0.0009868462,0.0024485,0.00112009,0.00305728,0.005786147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009362266,"about_ca_system_score_gemma":0.001708869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001357374,"about_ca_topic_score_gemma":0.003085586,"domain_scores_codex":[0.9997414,0.00006773373,0.00003819255,0.00004772016,0.0000732741,0.00003172077],"domain_scores_gemma":[0.9992675,0.000411535,0.0001014507,0.00002406971,0.000135672,0.00005973753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001368789,0.00006135485,0.00007876683,0.01534055,0.0001238663,0.000171438,0.00002340286,0.0003487114,0.001341042,0.002505173,0.04918855,0.9306803],"study_design_scores_gemma":[0.00009878196,0.0001854229,0.0004488111,0.004820099,0.0003291617,0.001380702,0.00003346954,0.0001346555,0.0005882283,0.001906777,0.9900417,0.00003208957],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000420055,0.998365,0.0001561752,0.0002527457,0.0003207996,0.000005653409,0.00002324328,0.000007038961,0.0008272994],"genre_scores_gemma":[0.0003858704,0.9975129,0.000222605,0.0005277738,0.0003956002,0.00001149088,0.00005154784,0.000003814151,0.0008883458],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009405923,"threshold_uncertainty_score":0.03146589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02029162158442239,"score_gpt":0.3264111381308529,"score_spread":0.3061195165464305,"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."}}