{"id":"W1995026094","doi":"10.3389/fnagi.2014.00183","title":"Genetic variation modifies risk for neurodegeneration based on biomarker status","year":2014,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institute of Mental Health; National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Northern California Institute for Research and Education; University of California, San Diego; Pfizer; Biogen; BioClinica; Medpace; F. Hoffmann-La Roche; Vanderbilt University; Synarc; Pharmaceutical Research and Manufacturers of America Foundation; University of Southern California; Novartis Pharmaceuticals Corporation; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health; Meso Scale Diagnostics","keywords":"Neurodegeneration; Biomarker; Single-nucleotide polymorphism; Genome-wide association study; SNP; Biology; Bonferroni correction; Genetic variation; Disease; Oncology; Genetics; Bioinformatics; Medicine; Internal medicine; Genotype; Gene","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":[0.0004644357,0.0001192763,0.0001577695,0.0002991478,0.0001638876,0.00007009479,0.0001368425,0.00004530067,0.000003609876],"category_scores_gemma":[0.001127421,0.0001034171,0.0000444067,0.0004251079,0.0001129067,0.000107066,0.00002510615,0.0001602601,0.000002316329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136543,"about_ca_system_score_gemma":0.00007770178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006347728,"about_ca_topic_score_gemma":0.0000029127,"domain_scores_codex":[0.9982808,0.000184403,0.0002008614,0.0004838928,0.0004305793,0.0004194205],"domain_scores_gemma":[0.9993375,0.00009253201,0.00007528993,0.0003125457,0.00005816264,0.0001239467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004894312,0.0002433381,0.5801799,0.00009252153,0.000003741837,0.000009219591,0.0002545649,0.1184617,0.2371529,0.00009763402,0.004031194,0.05898378],"study_design_scores_gemma":[0.0005360427,0.0001677023,0.4850909,0.00001573945,0.000005056358,5.12771e-7,0.000001712653,0.5128587,0.000500459,0.0001116229,0.0006595709,0.00005193627],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5106997,0.00001362199,0.4871987,0.000745588,0.0008009885,0.0004082318,0.000006998138,0.00003735439,0.00008888436],"genre_scores_gemma":[0.9732446,0.00004124493,0.02518381,0.001240183,0.0000740869,0.00005852857,0.000005524699,0.00001934891,0.0001326526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4625449,"threshold_uncertainty_score":0.4217228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02987042684949979,"score_gpt":0.2848378428214732,"score_spread":0.2549674159719734,"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."}}