{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006037655,0.0004826427,0.002712191,0.0003968562,0.00007591314,0.00002268522,0.0001192438,0.0001191687,0.0001037536],"category_scores_gemma":[0.002244457,0.0003850716,0.0004272423,0.0003739851,0.0003014933,0.00004199838,0.0001111083,0.0007513264,0.00003256783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002297111,"about_ca_system_score_gemma":0.000176086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000287531,"about_ca_topic_score_gemma":7.492843e-7,"domain_scores_codex":[0.9978579,0.00008195589,0.0006325651,0.0006551921,0.0003729794,0.0003994316],"domain_scores_gemma":[0.9982646,0.0008005148,0.0001873884,0.0003694233,0.00005527027,0.0003228746],"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":[0.00006512657,0.00002632953,0.0001397489,0.00801282,0.0000605054,0.001228511,0.0004767935,8.923816e-8,0.00000449144,0.00003815243,0.06513903,0.9248084],"study_design_scores_gemma":[0.001675419,0.0002922516,0.00008206406,0.05601696,0.002382272,0.002454205,0.00053975,0.0001250454,2.166597e-7,0.0000259068,0.9361086,0.0002972929],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00003715396,0.9887857,0.00001041913,0.003870243,0.0008593496,0.001332829,0.00004830185,0.00009785704,0.004958122],"genre_scores_gemma":[0.0001472997,0.9955434,0.0007691038,0.001001017,0.002045739,0.00003612614,0.00015481,0.0001717651,0.0001306995],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9245111,"threshold_uncertainty_score":0.9998601,"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."}}