{"id":"W2737893924","doi":"10.1016/j.athoracsur.2017.05.010","title":"Validation and Adjustment of the Leipzig-Halifax Acute Aortic Dissection Type A Scorecard","year":2017,"lang":"en","type":"article","venue":"The Annals of Thoracic Surgery","topic":"Aortic Disease and Treatment Approaches","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Balanced scorecard; Aortic dissection; Surgery; Internal medicine; Cardiology; Aorta; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01365822,0.0008429583,0.0008979933,0.0021885,0.0008457123,0.001918616,0.001250113,0.001050386,0.003503936],"category_scores_gemma":[0.03334827,0.0004159374,0.001206385,0.001447966,0.0007887787,0.001164547,0.002226143,0.00106981,0.00107079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562095,"about_ca_system_score_gemma":0.002266684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009740481,"about_ca_topic_score_gemma":0.01119968,"domain_scores_codex":[0.9912121,0.004044804,0.001065309,0.001425742,0.001524454,0.0007276374],"domain_scores_gemma":[0.9868527,0.005662685,0.002009104,0.00193685,0.002964208,0.0005745162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001037062,0.0001645163,0.9664668,0.00005571428,0.0004967052,0.00009592181,0.0003102459,0.001313242,0.0004928921,0.0005865861,0.004334047,0.02464627],"study_design_scores_gemma":[0.0002211893,0.0002575667,0.9893126,0.00005095439,0.000163571,0.0001749613,0.0002543243,0.005954804,0.0003349813,0.0004670033,0.002783831,0.00002419901],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830199,0.0004373032,0.00631951,0.00054602,0.000299775,0.0005607368,0.003748057,0.00007090493,0.004997852],"genre_scores_gemma":[0.9884329,0.0001189842,0.005219331,0.0001268003,0.0000848071,0.0006754776,0.004094512,0.00003910839,0.001208061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365822,"threshold_uncertainty_score":0.07223237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1627874523454311,"score_gpt":0.4048181959898766,"score_spread":0.2420307436444454,"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."}}