{"id":"W4388596281","doi":"10.1093/eurheartj/ehad655.3026","title":"Mortality after cardiovascular surgery and percutaneous coronary intervention prior to versus during the COVID-19 pandemic","year":2023,"lang":"en","type":"article","venue":"European Heart Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Health and Long Term Care; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Percutaneous coronary intervention; Conventional PCI; Pandemic; Retrospective cohort study; Mortality rate; Population; Emergency medicine; Logistic regression; Cohort; Internal medicine; Coronavirus disease 2019 (COVID-19); Myocardial infarction; Environmental health; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003384455,0.0002320499,0.0002866026,0.0006008198,0.0007153531,0.0007488999,0.0005146681,0.000393959,0.001701361],"category_scores_gemma":[0.001607041,0.0001714321,0.0004424466,0.0007433451,0.0004921418,0.0004232843,0.0007815999,0.0006148411,0.0001220379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002574999,"about_ca_system_score_gemma":0.003036065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3196165,"about_ca_topic_score_gemma":0.4200517,"domain_scores_codex":[0.9993761,0.00004495991,0.00005002098,0.0001373128,0.0001267112,0.0002648203],"domain_scores_gemma":[0.9979535,0.0001019252,0.001024641,0.00007011982,0.0003261415,0.0005236522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005878386,0.00001606237,0.9989886,0.000009971935,0.00002206197,0.00004095534,0.00006635515,0.00004238115,0.00008816614,0.0000165365,0.0001313576,0.0005188168],"study_design_scores_gemma":[0.000002027381,0.00002458256,0.9995525,0.000008825818,0.000005099386,0.00004202359,0.0001762437,0.00004233671,0.00002201592,0.000006732545,0.0001150822,0.000002395689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964753,0.0001950788,0.00003351131,0.00008953154,0.000012314,0.00001090448,0.002254966,0.000002710909,0.0009256596],"genre_scores_gemma":[0.9975209,0.0001656711,0.0000292245,0.00003957584,0.00002474024,0.00000962761,0.001979555,0.000001332222,0.0002294095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3196165,"threshold_uncertainty_score":0.6355122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1972465625644757,"score_gpt":0.4097988973834913,"score_spread":0.2125523348190157,"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."}}