{"id":"W1530730022","doi":"10.1007/s12350-010-9297-0","title":"Automatic and visual reproducibility of perfusion and function measures for myocardial perfusion SPECT","year":2010,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Heart, Lung, and Blood Institute; National Institutes of Health","keywords":"Reproducibility; Perfusion; Repeatability; Nuclear medicine; Myocardial perfusion imaging; Medicine; Computer science; Observer (physics); Artificial intelligence; Biomedical engineering; Computer vision; Radiology; Mathematics; Physics; Statistics","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":[0.007467093,0.0004376741,0.0002566257,0.0010479,0.0002032953,0.0006915698,0.0005134262,0.0005664004,0.0008621735],"category_scores_gemma":[0.03014231,0.0002139547,0.0003241153,0.0003631678,0.0006883485,0.000544432,0.0004564316,0.0002852831,0.0003011654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003206903,"about_ca_system_score_gemma":0.000331599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008495811,"about_ca_topic_score_gemma":0.001083186,"domain_scores_codex":[0.9945345,0.002724247,0.0003847368,0.0007433188,0.001464085,0.0001491151],"domain_scores_gemma":[0.9822235,0.01047764,0.002273569,0.001916378,0.002915467,0.0001934733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001795449,0.0002734843,0.7194021,0.0003143615,0.0005343149,0.0002092778,0.0006911519,0.007933083,0.06471775,0.000544176,0.0008558412,0.202729],"study_design_scores_gemma":[0.000111599,0.001583337,0.9143004,0.00004481253,0.0002160636,0.001663312,0.000167929,0.03662359,0.04331243,0.0007364514,0.001173199,0.00006677359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419228,0.0007070256,0.05482998,0.00005708986,0.00002791166,0.00008779349,0.0002436646,0.0003400181,0.001783655],"genre_scores_gemma":[0.9915094,0.00003463433,0.00807201,0.00001720049,0.0000183997,0.00004581232,0.0001518705,0.00004527415,0.0001053257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007467093,"threshold_uncertainty_score":0.03949022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01463539620965769,"score_gpt":0.2810887862440851,"score_spread":0.2664533900344274,"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."}}