{"id":"W3016123925","doi":"10.1002/ccd.28898","title":"Usefulness of the updated logistic clinical <scp>SYNTAX</scp> score after percutaneous coronary intervention in patients with prior coronary artery bypass graft surgery: Insights from the <scp>GLOBAL LEADERS</scp> trial","year":2020,"lang":"en","type":"article","venue":"Catheterization and Cardiovascular Interventions","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Biosensors International Group; AstraZeneca","keywords":"Medicine; Syntax; Percutaneous coronary intervention; Conventional PCI; Internal medicine; Logistic regression; Cardiology; Coronary artery disease; Framingham Risk Score; Artificial intelligence; Disease; Myocardial infarction; Computer science","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":[0.004229697,0.0007915515,0.0008456273,0.0004195991,0.0001782737,0.0009958119,0.0004177405,0.0005493218,0.0009632867],"category_scores_gemma":[0.007395176,0.0001406078,0.0007528856,0.000625597,0.0004823147,0.0008645472,0.0007027963,0.0008939906,0.0002000325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003159796,"about_ca_system_score_gemma":0.0004856595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005408262,"about_ca_topic_score_gemma":0.001037159,"domain_scores_codex":[0.9985904,0.0008466895,0.00008857335,0.0002129893,0.0001768914,0.00008446306],"domain_scores_gemma":[0.9964593,0.001398089,0.001042865,0.0003530097,0.0003768451,0.0003699125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03076407,0.0003720236,0.9260579,0.0003065917,0.002630726,0.0001053068,0.00009202051,0.002100739,0.0005494717,0.0002389504,0.001985734,0.03479626],"study_design_scores_gemma":[0.005673165,0.006445038,0.9743239,0.0001814823,0.002940155,0.000396332,0.000128986,0.006867038,0.0005447744,0.001011208,0.00143137,0.0000565457],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995459,0.001873628,0.0003539647,0.0003736179,0.00003973025,0.00005681254,0.0006922022,0.00001206887,0.001138971],"genre_scores_gemma":[0.9965191,0.0004357238,0.0005699222,0.0001645717,0.0001374601,0.00008055408,0.00193318,0.000007132861,0.0001523991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004229697,"threshold_uncertainty_score":0.02236903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05692581522120722,"score_gpt":0.2746544096764172,"score_spread":0.21772859445521,"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."}}