{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2061347,0.00303682,0.01490283,0.002672542,0.001280578,0.007495962,0.002252988,0.004940362,0.009279689],"category_scores_gemma":[0.2698321,0.001720729,0.01228372,0.003643232,0.002891787,0.00718735,0.002372543,0.005787724,0.001027152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002474915,"about_ca_system_score_gemma":0.004279271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007442793,"about_ca_topic_score_gemma":0.001472091,"domain_scores_codex":[0.7180567,0.233403,0.0287838,0.008171633,0.009713457,0.001871529],"domain_scores_gemma":[0.7279562,0.2117327,0.03397715,0.01381967,0.01020386,0.002310405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4614335,0.001261878,0.0156399,0.1260324,0.2119759,0.0002554967,0.0005104133,0.004299794,0.002713155,0.009800288,0.009089565,0.1569878],"study_design_scores_gemma":[0.6746978,0.03649892,0.02341025,0.01966221,0.1630087,0.000426323,0.0003266518,0.01001488,0.002587778,0.02442043,0.04451655,0.0004294793],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.09035513,0.6623704,0.1333767,0.01263804,0.01866407,0.06304947,0.00629139,0.001126279,0.01212845],"genre_scores_gemma":[0.6770151,0.07479291,0.1456114,0.01064469,0.005879549,0.07875085,0.003904401,0.0003514299,0.003049718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2061347,"threshold_uncertainty_score":0.9789773,"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."}}