{"id":"W3120503127","doi":"10.1007/s12350-020-02497-3","title":"Complementary role of hybrid imaging with SPECT myocardial perfusion and coronary CT angiography in hypertrophic cardiomyopathy","year":2021,"lang":"en","type":"article","venue":"Journal of Nuclear Cardiology","topic":"Cardiomyopathy and Myosin Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Victoria Hospital; London Health Sciences Centre","funders":"","keywords":"Medicine; Hypertrophic cardiomyopathy; Myocardial perfusion imaging; Coronary angiography; Cardiology; Perfusion; Internal medicine; Perfusion scanning; Radiology; Angiography; Cardiomyopathy; Nuclear medicine; Myocardial infarction; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004349161,0.0001744584,0.001177417,0.0003348424,0.00006260515,0.000007991869,0.00006462725,0.00001744152,0.00001844297],"category_scores_gemma":[0.00003975477,0.0001400308,0.0006664473,0.0002361658,0.0002653484,0.00008153809,0.0001378172,0.0003132208,0.000001045537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005664915,"about_ca_system_score_gemma":0.00009207163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003274734,"about_ca_topic_score_gemma":0.000002537996,"domain_scores_codex":[0.99858,0.0002330929,0.0004490618,0.0002204187,0.0002717343,0.00024568],"domain_scores_gemma":[0.9991865,0.000082246,0.0001871463,0.0002061545,0.0002344641,0.0001034796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001372242,0.00006199117,0.9372999,0.00004877588,0.001106919,0.02565689,0.0003414596,0.00007761362,0.02456424,0.00003937505,0.0009381928,0.00849239],"study_design_scores_gemma":[0.003607389,0.000942603,0.8575471,0.0001931802,0.0009038406,0.1168104,0.005519786,0.00002672971,0.0004710793,0.0001131159,0.01370705,0.0001577081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758316,0.02139033,0.00001271489,0.0005707676,0.0002471327,0.0001156103,0.00002065483,0.000008689805,0.001802469],"genre_scores_gemma":[0.9960771,0.002585931,0.0006158224,0.0002714202,0.0004117132,0.000001127506,0.000007007426,0.00002732833,0.000002591046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09115354,"threshold_uncertainty_score":0.5710291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007631927440437658,"score_gpt":0.2203581498995252,"score_spread":0.2127262224590875,"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."}}