{"id":"W2773685285","doi":"10.1007/s12350-018-1259-y","title":"Correction to: Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC","year":2018,"lang":"en","type":"erratum","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":80,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Metadata; Statement (logic); Position statement; Medical physics; Library science; Information retrieval; World Wide Web; Family medicine; Linguistics; Computer science","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":[0.004334987,0.002397808,0.002440965,0.003708019,0.002519353,0.004612546,0.003361395,0.01124737,0.04865549],"category_scores_gemma":[0.07175794,0.001349253,0.002092509,0.001643014,0.002420849,0.001992228,0.002051414,0.01438748,0.0401319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004592287,"about_ca_system_score_gemma":0.005633892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01321227,"about_ca_topic_score_gemma":0.01783052,"domain_scores_codex":[0.9938623,0.001048829,0.001260309,0.0008029394,0.002438965,0.0005865686],"domain_scores_gemma":[0.9549736,0.01000901,0.002598767,0.002402061,0.027391,0.002625644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003156325,0.000004835652,0.00004186276,0.00006041987,0.000006251447,0.0001657025,0.000007027732,0.00002070448,0.00002758318,0.0001489112,0.9967399,0.00274527],"study_design_scores_gemma":[0.00008075223,0.00002708573,0.0008276338,0.0004297116,0.00003542608,0.0007857221,0.00006130875,0.0002946291,0.0003323248,0.001032087,0.9960509,0.00004251916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000655123,0.0007322602,0.000340965,0.03693538,0.9601004,0.00002110622,0.0004470025,0.0001643302,0.001193036],"genre_scores_gemma":[0.006902941,0.005482122,0.003537799,0.1226939,0.7346904,0.0002514924,0.001724613,0.001237885,0.1234788],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04865549,"threshold_uncertainty_score":0.1627688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04661974539310201,"score_gpt":0.2858228982444313,"score_spread":0.2392031528513293,"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."}}