{"id":"W2342132835","doi":"10.1016/j.kint.2016.02.027","title":"Application of new acute kidney injury biomarkers in human randomized controlled trials","year":2016,"lang":"en","type":"article","venue":"Kidney International","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":77,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; National Institutes of Health; Yale University","keywords":"Medicine; Acute kidney injury; Creatinine; Clinical trial; Biomarker; Internal medicine; Randomized controlled trial; Acute tubular necrosis; Rifle; Intensive care medicine; Renal function","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005696948,0.0002596419,0.002569597,0.0009458234,0.00003318076,0.00002512216,0.0004253385,0.000194032,0.00385617],"category_scores_gemma":[0.03255799,0.0001510346,0.0008430366,0.0002918822,0.0002708221,0.0001970728,0.0001071528,0.0001835305,0.000116666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891872,"about_ca_system_score_gemma":0.001254921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000206643,"about_ca_topic_score_gemma":0.000001375414,"domain_scores_codex":[0.99561,0.0005929263,0.002048215,0.0004225496,0.001012637,0.0003137001],"domain_scores_gemma":[0.9957112,0.001247076,0.0009644896,0.0005312014,0.0005050669,0.001040963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.200947,0.0002346124,0.004446357,0.00002263873,0.004674213,0.00001044255,0.00008011286,2.980463e-8,0.3772412,0.004617871,0.4028719,0.00485357],"study_design_scores_gemma":[0.8621571,0.000240162,0.0009792516,0.0005546268,0.0008850996,0.0000273026,0.00001575579,0.0005961094,0.06544441,0.004667731,0.0641612,0.0002712565],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1164067,0.0002341642,0.08288907,0.6116103,0.004361648,0.02819349,0.009728513,0.0005193779,0.1460567],"genre_scores_gemma":[0.9709679,0.0002562164,0.003038563,0.004020726,0.0008981947,0.001228577,0.001047213,0.00006185355,0.01848069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8545613,"threshold_uncertainty_score":0.9970545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899166551341419,"score_gpt":0.3871526875865813,"score_spread":0.3581610220731671,"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."}}