{"id":"W2760391560","doi":"10.1016/j.cjca.2017.07.280","title":"EFFECTIVENESS OF SCREENING CORONARY ANGIOGRAPHY FOR THE PREVENTION OF PERI-OPERATIVE ADVERSE CARDIAC EVENTS IN PATIENTS RECEIVING RENAL TRANSPLANTATION","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Renal and Vascular Pathologies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Dialysis; Cardiology; Internal medicine; Revascularization; Coronary artery disease; Transplantation; Angioplasty; Angiography; Stroke (engine); Adverse effect; Surgery; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001717404,0.0003238339,0.0011293,0.0004960988,0.0004476503,0.0009758929,0.0004177002,0.001206615,0.001341963],"category_scores_gemma":[0.01073651,0.000272848,0.002023273,0.0005181368,0.0003736457,0.0005983981,0.0003799606,0.001373966,0.0001002292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006253909,"about_ca_system_score_gemma":0.001090529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005431325,"about_ca_topic_score_gemma":0.008421554,"domain_scores_codex":[0.9985185,0.0007441558,0.0001452572,0.0001536398,0.0002468452,0.000191588],"domain_scores_gemma":[0.9932864,0.004486251,0.0009739085,0.0002095686,0.0002740452,0.0007698521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0124922,0.00131315,0.9535111,0.0001740454,0.00132695,0.000213622,0.0001034815,0.0007763659,0.0003437991,0.0001422765,0.0004369716,0.02916615],"study_design_scores_gemma":[0.0004870932,0.003532773,0.9898024,0.00009679529,0.001989863,0.0002656741,0.0001901777,0.002926626,0.0001803989,0.0002145606,0.0002871406,0.00002642605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931712,0.004560749,0.00009217412,0.0005859561,0.0000664061,0.00002042963,0.0001061497,0.000006175835,0.001390813],"genre_scores_gemma":[0.9989895,0.0005747087,0.00008478482,0.0001255747,0.00008064433,0.00000439427,0.00008304168,0.000001037328,0.00005634566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005431325,"threshold_uncertainty_score":0.01079941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01919543062207278,"score_gpt":0.2804314158444797,"score_spread":0.2612359852224069,"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."}}