{"id":"W4323040004","doi":"10.1016/s0735-1097(23)01892-2","title":"REDUCING STUDY TIME FOR REST/STRESS 99MTC-TETROFOSMIN MYOCARDIAL PERFUSION IMAGING WITH MYOCARDIAL BLOOD FLOW MEASUREMENT USING CADMIUM-ZINC-TELLURIDE CAMERA IMAGING","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Medicine; Cadmium zinc telluride; Blood flow; Myocardial perfusion imaging; Perfusion; Rest (music); Cadmium; Zinc; Perfusion scanning; Nuclear medicine; Cardiology; Radiology; Internal medicine; Metallurgy; Optics","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":[0.001249402,0.0006234465,0.0006759234,0.0007270243,0.000303189,0.0006293815,0.0007768943,0.000660052,0.006957049],"category_scores_gemma":[0.00218644,0.0004030295,0.0003680056,0.0004124331,0.0002182741,0.0006742146,0.0004680922,0.0007917541,0.001238591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002407891,"about_ca_system_score_gemma":0.0005739587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008390569,"about_ca_topic_score_gemma":0.002417848,"domain_scores_codex":[0.9996457,0.00009867525,0.00002939718,0.00009402342,0.00007823145,0.00005397561],"domain_scores_gemma":[0.9987092,0.0005826115,0.0001737072,0.0001736783,0.0001903952,0.0001703825],"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":[0.006786371,0.0006623667,0.006943215,0.0003047044,0.0001042278,0.0003842989,0.0001519873,0.0007038337,0.8577649,0.0006840079,0.003394346,0.1221157],"study_design_scores_gemma":[0.001205534,0.007149309,0.1596087,0.0001363989,0.001081355,0.006270576,0.0002890225,0.04202887,0.7446964,0.001778355,0.03554818,0.0002072344],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5878661,0.004358445,0.3953577,0.001514787,0.0004894155,0.0007650277,0.0006438555,0.003683455,0.005321157],"genre_scores_gemma":[0.7270269,0.001660023,0.2584707,0.001097975,0.0004999993,0.0009691028,0.001060512,0.002012901,0.007201916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006957049,"threshold_uncertainty_score":0.02327365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01475872425371586,"score_gpt":0.2673856090669863,"score_spread":0.2526268848132704,"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."}}