{"id":"W4386171916","doi":"10.1016/j.jcct.2023.08.010","title":"A systematic review of contrast-enhanced computed tomography calcium scoring methodologies and impact of aortic valve calcium burden on TAVI clinical outcomes","year":2023,"lang":"en","type":"review","venue":"Journal of cardiovascular computed tomography","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; Toronto General Hospital; University of Toronto; University Health Network","funders":"Medtronic; Abbott Laboratories","keywords":"Medicine; Agatston score; Calcium; Calcification; Cardiology; Radiology; Internal medicine; Computed tomography; Coronary artery calcium","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","metaepi_broad"],"consensus_categories":["metaepi_broad"],"category_scores_codex":[0.0050312,0.001184983,0.02175856,0.002391793,0.00007233374,0.00004981363,0.0005430148,0.000522743,0.000004517807],"category_scores_gemma":[0.00169697,0.0007520366,0.100035,0.002732693,0.0003460918,0.0001103853,0.0002322235,0.001063981,0.00000342933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567442,"about_ca_system_score_gemma":0.0006150593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007205616,"about_ca_topic_score_gemma":1.41189e-7,"domain_scores_codex":[0.9875963,0.003303264,0.005749081,0.0007618308,0.001984914,0.0006046327],"domain_scores_gemma":[0.9879895,0.003435953,0.004617849,0.001674897,0.001626819,0.0006549588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001214747,0.0003035903,0.001610429,0.6355395,0.3138372,0.0001963758,0.00002431892,0.00009159942,5.337318e-7,0.000005124924,0.0000942613,0.0481756],"study_design_scores_gemma":[0.003678493,0.001793672,0.02107751,0.7438586,0.2282636,0.0004028973,0.00003383251,0.00001988399,0.0000040054,0.00002560905,0.0002967172,0.0005452264],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001669511,0.9887261,0.004283529,0.000009291535,0.0009768291,0.004008607,0.000225393,0.00007860157,0.00002207138],"genre_scores_gemma":[0.006887768,0.9908506,0.001542103,0.00003661275,0.0003827922,0.00007197268,0.00008169989,0.0001434874,0.000002928377],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1083191,"threshold_uncertainty_score":0.9994931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117378139189817,"score_gpt":0.4554083125814259,"score_spread":0.3436704986624442,"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."}}