{"id":"W4389956924","doi":"10.1161/circ.148.suppl_1.15620","title":"Abstract 15620: Diagnostic Accuracy of Virtual Non-Contrast CT for Aortic Valve Stenosis Severity Evaluation","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Medicine; Stenosis; Concordance; Aortic valve; Nuclear medicine; Radiology; Prospective cohort study; Aortic valve stenosis; Multidetector computed tomography; Computed tomography; Cardiology; Internal medicine","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":[0.002093828,0.0004691694,0.0003355513,0.001570221,0.0001714551,0.000838682,0.0005212737,0.0004028284,0.004383739],"category_scores_gemma":[0.006429275,0.0001580406,0.0002339674,0.000564492,0.000291139,0.0004237466,0.0004372629,0.0001905682,0.001069859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002199748,"about_ca_system_score_gemma":0.0002180428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004595571,"about_ca_topic_score_gemma":0.000570195,"domain_scores_codex":[0.9989763,0.000362959,0.0001829216,0.0001829565,0.0002302549,0.00006467022],"domain_scores_gemma":[0.9973119,0.001116237,0.0006753657,0.0001594122,0.0004899189,0.000247064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007023481,0.00004107267,0.9832699,0.00004566667,0.00006585301,0.0001789586,0.0000255227,0.0002902674,0.002847008,0.00003731195,0.0003314642,0.01216449],"study_design_scores_gemma":[0.00004832871,0.0005150735,0.9867505,0.00003640244,0.0001107609,0.004003904,0.00006477317,0.005279433,0.002195235,0.0001011062,0.0008800012,0.000014366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953716,0.000887792,0.0009788328,0.00004770514,0.00002608127,0.00002959866,0.000409858,0.00004322156,0.002205214],"genre_scores_gemma":[0.9983135,0.0001017103,0.0008699206,0.00001259151,0.00002232123,0.00001224489,0.0004221766,0.000007637472,0.0002377856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004383739,"threshold_uncertainty_score":0.01466507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02337506565861426,"score_gpt":0.2870648367931053,"score_spread":0.263689771134491,"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."}}