{"id":"W4387698383","doi":"10.1016/j.jacc.2023.09.311","title":"TCT-303 The Role of Quantitative Calcific Assessment in Prognosis of Procedural Events in TAVR","year":2023,"lang":"en","type":"article","venue":"Journal of the American College of Cardiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Internal medicine; Cardiology","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":[0.001423922,0.0006229808,0.0007362826,0.001203053,0.0003512309,0.00175765,0.0005540251,0.001055628,0.002033775],"category_scores_gemma":[0.005401474,0.0001986416,0.0004035613,0.0009959983,0.0003914571,0.0005462494,0.0002796577,0.0007376918,0.0007925112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005142397,"about_ca_system_score_gemma":0.0006692318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00420397,"about_ca_topic_score_gemma":0.003671384,"domain_scores_codex":[0.9993786,0.0002252929,0.0000793526,0.00007749703,0.0001765054,0.00006271097],"domain_scores_gemma":[0.9973909,0.001126088,0.0003688289,0.0001753934,0.0006703727,0.0002683974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006293324,0.0003896274,0.8842443,0.0003231181,0.0003819372,0.001096403,0.000109782,0.001619961,0.007987444,0.000937297,0.002417855,0.09419899],"study_design_scores_gemma":[0.000420035,0.00205404,0.9569837,0.0002583471,0.0007668308,0.004880965,0.0002472313,0.02186917,0.005200574,0.001702991,0.005512724,0.0001033981],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620472,0.0143219,0.003200107,0.001065484,0.0002373173,0.00009910062,0.001317314,0.0002043085,0.01750734],"genre_scores_gemma":[0.9965177,0.0007142981,0.001323618,0.0001207685,0.000101771,0.00002201171,0.0003779954,0.00002089254,0.0008009492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00420397,"threshold_uncertainty_score":0.008359015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01132383224897282,"score_gpt":0.288434542159195,"score_spread":0.2771107099102221,"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."}}