{"id":"W2987096433","doi":"10.1161/circoutcomes.119.005854","title":"Comparative Performance of Prediction Models for Contrast-Associated Acute Kidney Injury After Percutaneous Coronary Intervention","year":2019,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Libin Cardiovascular Institute of Alberta; University of Winnipeg; University of Manitoba; University of Calgary","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; Canadian Institutes of Health Research","keywords":"Acute kidney injury; Medicine; Percutaneous coronary intervention; Dialysis; Kidney disease; Creatinine; Internal medicine; Intensive care medicine; Cardiology; Emergency medicine; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03322943,0.002333182,0.001593713,0.002795832,0.0007683709,0.002912048,0.001910234,0.001914351,0.0009768044],"category_scores_gemma":[0.05074678,0.0006356327,0.002504027,0.001140861,0.0009950409,0.001617913,0.001538177,0.002182854,0.0006082255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003555394,"about_ca_system_score_gemma":0.003423203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03340169,"about_ca_topic_score_gemma":0.0145537,"domain_scores_codex":[0.9916312,0.004526225,0.00059802,0.001443413,0.00123511,0.0005660293],"domain_scores_gemma":[0.9464782,0.03894343,0.003739784,0.002566497,0.006800888,0.001471099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008291591,0.001198377,0.6346102,0.0002649623,0.004079575,0.0002292699,0.0004627985,0.279892,0.0006803317,0.001012054,0.004554004,0.0647248],"study_design_scores_gemma":[0.0002480157,0.001212497,0.1030372,0.0001078144,0.0006147568,0.0001568289,0.0001442741,0.8916418,0.0008039352,0.001421421,0.0005167032,0.00009479101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777659,0.001806992,0.0154475,0.0008925854,0.0002268096,0.000150519,0.001315458,0.0005977039,0.001796553],"genre_scores_gemma":[0.9931238,0.0003021622,0.004043976,0.0001141642,0.00005552662,0.00006316358,0.001912439,0.00005950641,0.0003252221],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03340169,"threshold_uncertainty_score":0.1757361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534231415633884,"score_gpt":0.3425934608961597,"score_spread":0.2972511467398208,"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."}}