{"id":"W2745505211","doi":"10.1007/s12410-017-9432-2","title":"Quantification of Myocardial Blood Flow with CZT SPECT Imaging: Is It Ready for Clinical Use?","year":2017,"lang":"en","type":"article","venue":"Current Cardiovascular Imaging Reports","topic":"Cardiac Imaging and Diagnostics","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cadmium zinc telluride; Medicine; Positron emission tomography; Nuclear medicine; Blood flow; Myocardial perfusion imaging; Single-photon emission computed tomography; Cardiac PET; Emission computed tomography; Radiology; Interventional radiology; Perfusion; Medical physics; Computer science","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":[0.02282374,0.001605144,0.004398897,0.001502675,0.0004060415,0.007407303,0.002575552,0.005598642,0.009611322],"category_scores_gemma":[0.02390264,0.001649493,0.001290795,0.001784437,0.004323559,0.005998259,0.001225221,0.005743068,0.00553898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701479,"about_ca_system_score_gemma":0.00686539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556503,"about_ca_topic_score_gemma":0.005471283,"domain_scores_codex":[0.9970867,0.001365344,0.0002559894,0.0003415772,0.0007172556,0.0002331114],"domain_scores_gemma":[0.972163,0.01183057,0.002329312,0.002375081,0.009259181,0.00204288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007459645,0.0005676036,0.03867816,0.004924491,0.0006322776,0.0009365409,0.000529099,0.001592177,0.06625994,0.01268797,0.05783634,0.8078958],"study_design_scores_gemma":[0.003204624,0.01443606,0.1057039,0.01177895,0.003898087,0.008083215,0.002724787,0.03041925,0.1264318,0.04001759,0.6512687,0.002033197],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.06756813,0.5142812,0.2087975,0.1518449,0.01084912,0.001487702,0.002630713,0.007052232,0.03548852],"genre_scores_gemma":[0.3840565,0.3148159,0.2415443,0.02651797,0.01392604,0.001778096,0.003920453,0.001536155,0.01190461],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02282374,"threshold_uncertainty_score":0.1207049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.109395125689831,"score_gpt":0.3887973770663466,"score_spread":0.2794022513765156,"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."}}