{"id":"W4312066037","doi":"10.1186/s13195-022-01134-0","title":"Association of neurofilament light chain with renal function: mechanisms and clinical implications","year":2022,"lang":"en","type":"article","venue":"Alzheimer s Research & Therapy","topic":"Skin and Cellular Biology Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Temple University; F. Hoffmann-La Roche; Biogen; University of California, San Diego; BioClinica; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Pfizer; Bristol-Myers Squibb; Eli Lilly and Company; National Institute on Aging; Alzheimer's Association; H. Lundbeck A/S; U.S. Department of Veterans Affairs","keywords":"Neurodegeneration; Medicine; Biomarker; Creatinine; Renal function; Internal medicine; Neurology; Cerebrospinal fluid; Cystatin C; Endocrinology; Physiology; Disease; Biology; Psychiatry; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002444687,0.00009086268,0.000131879,0.00008535169,0.0003390831,0.00001774799,0.0002442175,0.00009739844,0.000159066],"category_scores_gemma":[0.00004806756,0.00007507594,0.00006337239,0.000249139,0.0001297764,0.000003140166,0.0002505753,0.0003772488,0.000004208004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727391,"about_ca_system_score_gemma":0.000157055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002135777,"about_ca_topic_score_gemma":0.0000143384,"domain_scores_codex":[0.9976368,0.001009266,0.0002067436,0.0003866533,0.0004437485,0.0003168172],"domain_scores_gemma":[0.9991063,0.00009974414,0.00008190065,0.0003790222,0.000237655,0.00009540211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001721769,0.0004467429,0.01955362,0.000002665887,0.001704002,0.000006729104,0.00006614628,0.000007257962,0.9397577,0.002056284,0.0107709,0.02390615],"study_design_scores_gemma":[0.004881714,0.02087596,0.04901255,0.000007835345,0.0001334369,0.0001020376,0.000510799,0.00007997136,0.3575608,0.002560379,0.5638154,0.000459197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969395,0.01184507,0.001414559,0.01401812,0.0001966328,0.001390796,0.00004714642,0.00002265157,0.00167007],"genre_scores_gemma":[0.9955724,0.002343886,0.0001945163,0.0002429147,0.0001327391,0.0002334223,0.0001128984,0.00002160273,0.001145544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.582197,"threshold_uncertainty_score":0.3061508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06621771843706073,"score_gpt":0.3690339572312682,"score_spread":0.3028162387942075,"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."}}