{"id":"W4417469438","doi":"10.34067/kid.0000000974","title":"Clinical Implementation of Urinary Neutrophil Gelatinase-Associated Lipocalin","year":2025,"lang":"en","type":"article","venue":"Kidney360","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Metro North Hospital and Health Service","keywords":"Lipocalin; Biomarker; Urinary system; Acute kidney injury; Inflammation; Mesenchymal stem cell; Neutrophil gelatinase-associated lipocalin; Kidney","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002794855,0.0006685955,0.001042771,0.001295748,0.0004313697,0.001744,0.000767511,0.001007878,0.003892112],"category_scores_gemma":[0.008765774,0.0002235585,0.0003871588,0.001453793,0.0006486411,0.001042272,0.0009993874,0.00145517,0.001637597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125679,"about_ca_system_score_gemma":0.001624178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001888521,"about_ca_topic_score_gemma":0.002270105,"domain_scores_codex":[0.9978624,0.0006845572,0.0002219475,0.0004114029,0.0006757362,0.0001438704],"domain_scores_gemma":[0.9954785,0.0008391698,0.0008969734,0.0002296553,0.001830618,0.0007251543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003448055,0.001155452,0.1865662,0.0019275,0.0002507717,0.002385442,0.000433393,0.0007892572,0.0114269,0.002565036,0.03476403,0.754288],"study_design_scores_gemma":[0.001416055,0.01845278,0.4104239,0.008405533,0.0009581706,0.02072011,0.001924933,0.01123349,0.06828934,0.01178711,0.4460098,0.0003787068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.3429492,0.3954577,0.08206657,0.03848509,0.005857382,0.002900786,0.008155437,0.003972984,0.1201549],"genre_scores_gemma":[0.8930947,0.04932266,0.03583573,0.01034908,0.002126031,0.000856533,0.002815826,0.0002126403,0.005386863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003892112,"threshold_uncertainty_score":0.01478082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359742059005411,"score_gpt":0.4437509183584467,"score_spread":0.4101534977683926,"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."}}