{"id":"W1965090289","doi":"10.1007/s12350-013-9738-7","title":"Comparison of attenuation, dual-energy-window, and model-based scatter correction of low-count SPECT to 82Rb PET/CT quantified myocardial perfusion scores","year":2013,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Nuclear medicine; Correction for attenuation; Myocardial perfusion imaging; SSS*; Perfusion; Perfusion scanning; Cardiac PET; Radiology; Positron emission tomography; Internal medicine","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":[0.001965931,0.0006419986,0.0005138771,0.001105215,0.0001471389,0.001071963,0.000528657,0.0006980504,0.00102925],"category_scores_gemma":[0.005243205,0.000358811,0.000517358,0.0004910422,0.0002366037,0.0005286809,0.0004247192,0.0003306842,0.0003485091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005514341,"about_ca_system_score_gemma":0.00050472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253376,"about_ca_topic_score_gemma":0.004544004,"domain_scores_codex":[0.9993582,0.0002332961,0.00005430763,0.0001213171,0.0001842711,0.00004855849],"domain_scores_gemma":[0.9984601,0.0005829777,0.0002555704,0.0001497894,0.0004668289,0.00008476275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02629971,0.0006879628,0.2496519,0.0008980445,0.001706507,0.0004589022,0.0005645041,0.06893367,0.3646275,0.001699929,0.001411837,0.2830595],"study_design_scores_gemma":[0.0004197792,0.00192204,0.3689421,0.00009909934,0.00170713,0.001701343,0.0001767999,0.4731674,0.1488845,0.0008307862,0.001983828,0.0001652408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499923,0.0008479235,0.04727976,0.00007325954,0.00003514445,0.00004796092,0.0003243058,0.0004497991,0.0009494343],"genre_scores_gemma":[0.9816002,0.0002443117,0.016677,0.00002429524,0.00001182487,0.00002509286,0.0004453159,0.0002168709,0.0007550527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00253376,"threshold_uncertainty_score":0.01039696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01693517780926095,"score_gpt":0.282312699868255,"score_spread":0.265377522058994,"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."}}