{"id":"W4293105638","doi":"10.1177/20543581221118991","title":"Clinical Implementation of NGAL Testing to Improve Diagnostic Assessment of AKI Episodes in a Canadian Center","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Kidney Health and Disease","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Acute kidney injury; Internal medicine; Cohort; Logistic regression; Prospective cohort study; Cohort study; Creatinine; Urinalysis; Intensive care medicine; Nephrology; Urine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001842433,0.000348809,0.0002706889,0.00172903,0.002047921,0.001140971,0.001553914,0.0004476923,0.001898986],"category_scores_gemma":[0.009819697,0.0002506801,0.0002548832,0.001946577,0.0006466373,0.0004241756,0.001310615,0.0006711016,0.0002184051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02653586,"about_ca_system_score_gemma":0.03566054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8689185,"about_ca_topic_score_gemma":0.9290171,"domain_scores_codex":[0.997883,0.0002622948,0.0001348551,0.0002904072,0.0008790137,0.0005503692],"domain_scores_gemma":[0.9887539,0.000868408,0.002436071,0.0002433059,0.005043813,0.002654403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005484559,0.00004433271,0.9880695,0.00003216172,0.00001342801,0.0002319678,0.0003244686,0.000173896,0.0003608621,0.00004352821,0.001460149,0.009190804],"study_design_scores_gemma":[0.00000985894,0.00006465999,0.9965082,0.00004755577,0.00001451246,0.0002779826,0.0008179177,0.0006845419,0.0002456067,0.00002861449,0.001283435,0.00001707727],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884328,0.0009695361,0.0007380634,0.00226722,0.00004455878,0.0002194658,0.001224078,0.00007104301,0.006033312],"genre_scores_gemma":[0.9964994,0.0004154286,0.001907415,0.000351763,0.0000212486,0.00003282266,0.000448294,0.000007694311,0.0003159266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310815,"threshold_uncertainty_score":0.2637068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.047487640670458,"score_gpt":0.4445618226449253,"score_spread":0.3970741819744673,"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."}}