{"id":"W2077758957","doi":"10.1118/1.4915083","title":"Effects of CT‐based attenuation correction of rat microSPECT images on relative myocardial perfusion and quantitative tracer uptake","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Economic Development and Innovation; University of Ottawa","keywords":"Correction for attenuation; Attenuation; Nuclear medicine; Perfusion; Reproducibility; Medicine; Myocardial perfusion imaging; Positron emission tomography; Radiology; Chemistry; Physics; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000779042,0.0008582011,0.0002985764,0.0005239801,0.0001413979,0.0003843936,0.0003873493,0.0004464579,0.001198276],"category_scores_gemma":[0.00128491,0.0003915635,0.0002583284,0.0002511602,0.0004442233,0.0003704517,0.0002625798,0.0006774396,0.0002810801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209932,"about_ca_system_score_gemma":0.0004272606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090032,"about_ca_topic_score_gemma":0.002710969,"domain_scores_codex":[0.999581,0.0001092734,0.00002899872,0.00007979993,0.0001402567,0.00006071941],"domain_scores_gemma":[0.9989684,0.0003742551,0.0003441926,0.00009605481,0.0001638513,0.00005329161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00054869,0.0000334442,0.0010469,0.00004942247,0.00001535731,0.00004951356,0.00001949212,0.000366276,0.9941365,0.00003123449,0.00002250289,0.003680719],"study_design_scores_gemma":[0.00001846521,0.0006332916,0.005593151,0.000007896943,0.00006194154,0.0002520539,0.0000162116,0.00277701,0.9902311,0.00001929922,0.0003807826,0.000008753374],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761441,0.001401445,0.02124515,0.00009792432,0.00003531484,0.00005827871,0.00013936,0.0002398157,0.0006386016],"genre_scores_gemma":[0.965251,0.00126818,0.03080973,0.00009345436,0.00002057689,0.00009515755,0.0004556546,0.0002069749,0.001799293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002090032,"threshold_uncertainty_score":0.004155755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01650825750525131,"score_gpt":0.2957868500299294,"score_spread":0.2792785925246781,"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."}}