{"id":"W2115560634","doi":"10.1681/asn.2011090907","title":"Biomarkers Predict Progression of Acute Kidney Injury after Cardiac Surgery","year":2012,"lang":"en","type":"article","venue":"Journal of the American Society of Nephrology","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":301,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Center for Research Resources; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Canadian Institutes of Health Research; American Heart Association","keywords":"Medicine; Acute kidney injury; Odds ratio; Confidence interval; Internal medicine; Biomarker; Creatinine; Clinical endpoint; Intensive care medicine; Clinical trial","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001683289,0.0001724195,0.001103442,0.0001353814,0.00004741992,0.000003483633,0.0003037587,0.0001270038,0.0001082769],"category_scores_gemma":[0.0002413849,0.000104656,0.001480119,0.0005983278,0.001906177,0.000154744,0.0002196165,0.0005353793,0.000003125176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073566,"about_ca_system_score_gemma":0.0007178463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002088453,"about_ca_topic_score_gemma":2.910796e-8,"domain_scores_codex":[0.9974548,0.0004170193,0.000746699,0.0001220591,0.0007722382,0.0004872144],"domain_scores_gemma":[0.9968764,0.0002534382,0.001555469,0.0004432024,0.0003927913,0.0004786928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002591024,0.0001754797,0.2704006,0.00006031727,0.002286679,0.000003670133,0.000292139,1.227118e-8,0.1680207,5.327777e-7,0.5521342,0.004034666],"study_design_scores_gemma":[0.0006942409,0.002339649,0.8086214,0.0002636415,0.001556737,0.0004552806,0.0004711942,0.00001912299,0.03332985,0.00002049871,0.1520726,0.0001558068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805284,0.0004581912,0.00003399124,0.01793004,0.0003825835,0.0002488228,0.0003139189,0.000008451406,0.0000956011],"genre_scores_gemma":[0.9856981,0.001239705,0.004139266,0.008104899,0.0006796615,0.00001197872,0.000008574139,0.00003209921,0.00008573109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5382208,"threshold_uncertainty_score":0.7023389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01679968736718077,"score_gpt":0.3305115471193737,"score_spread":0.3137118597521929,"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."}}