{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001261992,0.0001955947,0.0009787461,0.0001416649,0.0000777716,0.00002006886,0.00006708645,0.0001908486,0.00007073848],"category_scores_gemma":[0.0001671387,0.0001772986,0.000874971,0.0001474535,0.0001088971,0.0003451896,0.00004435884,0.0001820209,0.000009256592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001615467,"about_ca_system_score_gemma":0.0001041677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000295249,"about_ca_topic_score_gemma":6.482725e-7,"domain_scores_codex":[0.9978926,0.0002639665,0.0006056123,0.000371326,0.0006266878,0.0002397986],"domain_scores_gemma":[0.9986333,0.0001145428,0.0001590002,0.0004316669,0.0004815389,0.0001799373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00331224,0.0002816913,0.974324,0.001247659,0.01013088,0.00000875668,0.001185579,0.0003702925,0.004594977,0.0002305363,0.0004206087,0.003892763],"study_design_scores_gemma":[0.003732781,0.0005202618,0.956838,0.0001826207,0.001111357,0.00008308345,0.0001647963,0.0359888,0.0007104895,0.0001666007,0.0003072183,0.0001939691],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913169,0.0003336134,0.00435979,0.0002098779,0.0002094038,0.001725939,0.001574409,0.00005889357,0.0002112471],"genre_scores_gemma":[0.9980174,0.00009949988,0.0002074856,0.0002698821,0.00003546451,0.0001162249,0.0009963088,0.00002142267,0.0002363042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03561851,"threshold_uncertainty_score":0.7230027,"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."}}