{"id":"W4380795678","doi":"10.1161/circ.146.suppl_1.14532","title":"Abstract 14532: Myocardial Blood Flow in Patients Recovered From COVID-19 Infection Using Stress Cardiac Magnetic Resonance","year":2022,"lang":"en","type":"article","venue":"Circulation","topic":"Infrared Thermography in Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Medicine; Perfusion; Internal medicine; Cardiology; Myocardial perfusion imaging; Palpitations; Population; Magnetic resonance imaging; Chest pain; Coronavirus disease 2019 (COVID-19); 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":[0.0002365161,0.0003136209,0.0002922771,0.0004495959,0.0003310595,0.0002818172,0.0001667071,0.0003848268,0.001799041],"category_scores_gemma":[0.0007801426,0.0001429684,0.0001939408,0.0002427743,0.0002240809,0.0002967431,0.0002719163,0.0002797927,0.00027036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341083,"about_ca_system_score_gemma":0.0001230706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000615127,"about_ca_topic_score_gemma":0.0005945165,"domain_scores_codex":[0.9998721,0.00002520585,0.00001580709,0.00003404392,0.00001827352,0.00003454618],"domain_scores_gemma":[0.9997441,0.00004719925,0.00008927951,0.00001554283,0.00002400472,0.00007988011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005660568,0.00009205171,0.9923661,0.00002239388,0.00001867512,0.001653074,0.0001331541,0.00002938754,0.002978591,0.00001193427,0.00009368957,0.002034787],"study_design_scores_gemma":[0.00001554626,0.0005724835,0.9956583,0.000007298947,0.00001204989,0.00306788,0.0001990943,0.00009021189,0.0002638627,0.00001258461,0.00009714044,0.00000360787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996264,0.00008851215,0.0000462399,0.00001474564,0.000003274708,0.000008133102,0.00005598525,0.000001777315,0.0001548675],"genre_scores_gemma":[0.9997117,0.00003539233,0.00006282269,0.00001421892,0.000009011726,0.000006050458,0.0001010327,7.693388e-7,0.00005892496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001799041,"threshold_uncertainty_score":0.0060184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01718838039515015,"score_gpt":0.2560807470624171,"score_spread":0.238892366667267,"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."}}