{"id":"W2786978571","doi":"10.1016/j.ijcard.2017.10.103","title":"Development and external validation of a post-discharge bleeding risk score in patients with acute coronary syndrome: The BleeMACS score","year":2018,"lang":"en","type":"article","venue":"International Journal of Cardiology","topic":"Antiplatelet Therapy and Cardiovascular Diseases","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":false,"ca_institutions":"Libin Cardiovascular Institute of Alberta","funders":"","keywords":"Medicine; Conventional PCI; Acute coronary syndrome; Percutaneous coronary intervention; Internal medicine; Framingham Risk Score; Cohort; Population; Antithrombotic; Surgery; Myocardial infarction; Disease","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":[0.0141023,0.0008710609,0.00121408,0.002395295,0.0007931466,0.002032474,0.001103753,0.001446455,0.002102631],"category_scores_gemma":[0.03438026,0.0004494498,0.001363688,0.001287902,0.001142148,0.001199554,0.002490263,0.001532966,0.0009935725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004061,"about_ca_system_score_gemma":0.002324109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001833518,"about_ca_topic_score_gemma":0.002221508,"domain_scores_codex":[0.9908443,0.003070969,0.001541307,0.001118494,0.002888691,0.000536234],"domain_scores_gemma":[0.9770455,0.007257116,0.003310633,0.002441994,0.008593601,0.001351085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003048242,0.001464541,0.9547271,0.0001658106,0.000662842,0.0001257566,0.000919853,0.00110903,0.002180155,0.0007269662,0.003753,0.03111681],"study_design_scores_gemma":[0.0009147274,0.001762102,0.9849538,0.00008089346,0.0002919941,0.0003171607,0.0004523936,0.004435306,0.00156739,0.0004203028,0.00475968,0.00004429443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864227,0.0002512563,0.005609106,0.0002618476,0.0001726365,0.001938431,0.002344392,0.00009668416,0.002902931],"genre_scores_gemma":[0.9799603,0.0001619575,0.007797122,0.0002268078,0.0001227423,0.002640925,0.007594737,0.00008376977,0.001411522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0141023,"threshold_uncertainty_score":0.07458097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01136810728291735,"score_gpt":0.2510534478745935,"score_spread":0.2396853405916762,"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."}}