{"id":"W4312129867","doi":"10.1002/mp.16186","title":"Improved precision of SPECT myocardial blood flow using a net tracer retention model","year":2022,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nuclear medicine; Calibration; Single-photon emission computed tomography; Blood flow; Myocardial perfusion imaging; Cardiac PET; Spect imaging; Emission computed tomography; Positron emission tomography; Perfusion; Mathematics; Medicine; Statistics; Radiology","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":[0.01028896,0.00126496,0.001343827,0.001074529,0.0003938867,0.001544487,0.001114848,0.00120755,0.000530064],"category_scores_gemma":[0.01534477,0.0007061582,0.001221596,0.0006594104,0.0005888958,0.001017948,0.0009839695,0.001056221,0.0003875683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001337116,"about_ca_system_score_gemma":0.001206892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005549206,"about_ca_topic_score_gemma":0.00637531,"domain_scores_codex":[0.9965179,0.001245676,0.0001954279,0.001204277,0.0006998735,0.0001368975],"domain_scores_gemma":[0.9909959,0.005171555,0.001027567,0.0014972,0.001237413,0.00007040413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004670362,0.0003256476,0.1079024,0.00115676,0.001735138,0.0003679143,0.001020509,0.2567594,0.3962119,0.001807407,0.00124786,0.2267947],"study_design_scores_gemma":[0.0001096069,0.001210418,0.07956067,0.0001163011,0.0009080944,0.001099532,0.00006635582,0.765932,0.1464105,0.001491874,0.002807253,0.0002875779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5430651,0.002091416,0.4507101,0.0001435825,0.000072396,0.0001237918,0.0004921474,0.002343909,0.0009575561],"genre_scores_gemma":[0.9128926,0.0004234687,0.08469953,0.0001080298,0.00002720489,0.0001048801,0.0007134232,0.0004105126,0.0006203147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01028896,"threshold_uncertainty_score":0.05441386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243951676613053,"score_gpt":0.2790166349051314,"score_spread":0.2565771181390009,"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."}}