{"id":"W3196524691","doi":"10.1093/ndt/gfab263","title":"Urinary biomarkers predict progression and adverse outcomes of acute kidney injury in critical illness","year":2021,"lang":"en","type":"article","venue":"Nephrology Dialysis Transplantation","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"UCD Foundation; Health Research Board","keywords":"Medicine; Critical illness; Acute kidney injury; Urinary system; Intensive care medicine; Adverse effect; Biomarker; Kidney disease; Internal medicine; Critically ill","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":[],"consensus_categories":[],"category_scores_codex":[0.0003376168,0.0001712229,0.000531491,0.0004154576,0.00006169998,0.000006137765,0.00007441911,0.0002710588,0.0002241569],"category_scores_gemma":[0.00027846,0.0001503766,0.0001197391,0.0005199141,0.0004036358,0.0001797556,0.00003211484,0.0002570752,0.000006568209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003840358,"about_ca_system_score_gemma":0.0003063396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001895727,"about_ca_topic_score_gemma":0.000005128082,"domain_scores_codex":[0.9981588,0.0003029093,0.0004600133,0.0004058483,0.0003606597,0.0003118193],"domain_scores_gemma":[0.9990283,0.0002201122,0.00006425624,0.0002554944,0.0001635122,0.0002682981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006339965,0.0008158603,0.8494424,0.0006386377,0.001184747,0.002007706,0.001219581,3.34241e-7,0.1319262,0.0001620933,0.001357964,0.004904508],"study_design_scores_gemma":[0.005062129,0.0008325474,0.9538814,0.000162116,0.00214611,0.0005042922,0.0001149983,0.0003585086,0.03606092,0.0001441491,0.0005469543,0.0001858587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991043,0.0000618913,0.0003088477,0.006939305,0.0001089027,0.0003438063,0.0006832191,0.00004166079,0.0004693405],"genre_scores_gemma":[0.9945732,0.001084807,0.001643631,0.00128829,0.00003335447,0.00009583546,0.001216613,0.00001905752,0.00004521449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.104439,"threshold_uncertainty_score":0.6132179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491179479326479,"score_gpt":0.3512401555595994,"score_spread":0.3363283607663347,"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."}}