{"id":"W4224219957","doi":"10.3390/tomography8020092","title":"Effect of Cardiac Phase on Cardiac Output Index Derived from Dynamic CT Myocardial Perfusion Imaging","year":2022,"lang":"en","type":"article","venue":"Tomography","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Lawson Health Research Institute; Western University","funders":"","keywords":"Hounsfield scale; Perfusion; Medicine; Cardiac function curve; Cardiac output; Nuclear medicine; Myocardial perfusion imaging; Perfusion scanning; Cardiology; Internal medicine; Radiology; Hemodynamics; Computed tomography; Heart failure","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":[0.001157489,0.0003087799,0.0002507386,0.0003306472,0.00008385551,0.0004173717,0.0001974183,0.000329527,0.0005051775],"category_scores_gemma":[0.003230218,0.0002121656,0.0001807678,0.0001797445,0.0004540334,0.0002830186,0.0001877928,0.000457806,0.0001497533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002532684,"about_ca_system_score_gemma":0.0001502364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003222153,"about_ca_topic_score_gemma":0.0003538253,"domain_scores_codex":[0.9993756,0.0002042604,0.00003540214,0.0001309626,0.0001916711,0.00006212421],"domain_scores_gemma":[0.9974807,0.001327056,0.0006326024,0.0001777553,0.0002335708,0.0001483317],"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":[0.003423598,0.0001448038,0.03452867,0.00008154283,0.00006057242,0.0002019277,0.0001045745,0.0004646806,0.9461969,0.00003530439,0.00005990899,0.01469754],"study_design_scores_gemma":[0.00006593554,0.00492614,0.3717145,0.00002620474,0.0001989462,0.0008416852,0.00009037797,0.007814039,0.6134884,0.00007084639,0.0007209412,0.00004205756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926209,0.0005700057,0.006118865,0.00002855156,0.00001948969,0.00002963428,0.00005448375,0.00003470458,0.0005232567],"genre_scores_gemma":[0.9957687,0.0002576222,0.00343396,0.00007518462,0.00001751374,0.000035169,0.0001090958,0.00004531487,0.0002573557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001157489,"threshold_uncertainty_score":0.006121457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002693708356286726,"score_gpt":0.2204420941219315,"score_spread":0.2177483857656448,"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."}}