{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007286159,0.0003888026,0.001590054,0.0004445045,0.0005555979,0.00008548721,0.00120571,0.00004115663,0.00001786594],"category_scores_gemma":[0.001545208,0.0002696666,0.0004782495,0.0009630516,0.0008650027,0.000267257,0.0005078701,0.0003629137,0.00000840239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002958275,"about_ca_system_score_gemma":0.000808025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002256752,"about_ca_topic_score_gemma":0.000006621074,"domain_scores_codex":[0.9940742,0.00189747,0.001147738,0.0005828255,0.00150558,0.0007921886],"domain_scores_gemma":[0.9955975,0.0005228978,0.002046273,0.0007352988,0.0009258125,0.000172177],"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":[0.0008174731,0.00005836975,0.03671459,0.00003130982,0.0001716287,0.0003272132,0.0003397077,0.1347662,0.8249588,0.000003923707,0.001347804,0.0004629568],"study_design_scores_gemma":[0.02059363,0.011116,0.3323367,0.002632822,0.007816751,0.01907219,0.02427191,0.1953208,0.3788255,0.0005179993,0.003422098,0.004073693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932323,0.0001277827,0.002218901,0.001056983,0.002288145,0.0007630879,0.0001474295,0.00005347412,0.0001119508],"genre_scores_gemma":[0.988286,0.00001919958,0.01008824,0.00009548551,0.001394695,0.00001962013,0.000001415596,0.00006583566,0.00002953273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4461334,"threshold_uncertainty_score":0.9999756,"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."}}