{"id":"W2117136125","doi":"10.2174/187152811796117753","title":"Neutrophil Gelatinase-Associated Lipocalin (NGAL) as a New Biomarker for Non – Acute Kidney Injury (AKI) Diseases","year":2011,"lang":"en","type":"review","venue":"Inflammation & Allergy - Drug Targets","topic":"Acute Kidney Injury Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dr. Everett Chalmers Regional Hospital; Horizon Health Network","funders":"","keywords":"Lipocalin; Biomarker; Acute kidney injury; Medicine; Kidney disease; Neutrophil gelatinase-associated lipocalin; Immunology; Internal medicine; Biology","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009824727,0.001508495,0.00353587,0.001219692,0.0003967135,0.0001626053,0.001088513,0.001502078,0.004468204],"category_scores_gemma":[0.00645129,0.001303895,0.001958725,0.001089437,0.0002129237,0.0005439831,0.0004970512,0.001262087,0.002004337],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009123485,"about_ca_system_score_gemma":0.01066571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003085094,"about_ca_topic_score_gemma":0.00002849238,"domain_scores_codex":[0.992379,0.0005970704,0.002485162,0.001471011,0.001602364,0.001465404],"domain_scores_gemma":[0.9914792,0.0004573622,0.001671707,0.001552378,0.0009458813,0.003893451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008831316,0.000342076,0.00002086175,0.005816309,0.005194617,0.000238883,0.0002453087,1.141144e-7,0.00003639411,0.0003234111,0.6557938,0.3311051],"study_design_scores_gemma":[0.003033686,0.0004631006,0.00007021115,0.01060882,0.002815211,0.00008766915,0.00001004814,0.0002469074,0.0001180633,0.0004847811,0.9809206,0.001140931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001719524,0.9608728,0.0003121638,0.007447822,0.002105282,0.0121185,0.008362856,0.00106103,0.007547645],"genre_scores_gemma":[0.00003015061,0.9395716,0.0008446534,0.001145934,0.001633511,0.002194993,0.02376527,0.0004907418,0.03032316],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3299642,"threshold_uncertainty_score":0.9997942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04202547539307529,"score_gpt":0.3557587460267679,"score_spread":0.3137332706336927,"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."}}