{"id":"W4300327372","doi":"10.17615/mwnb-w452","title":"Can Genetic Analysis of Putative Blood Alzheimer’s Disease Biomarkers Lead to Identification of Susceptibility Loci?","year":2020,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; University of Texas Health Science Center at San Antonio; National Institutes of Health; Genentech; IXICO; Servier; Eisai; Texas Alzheimer's Research and Care Consortium; Meso Scale Diagnostics; University of North Texas; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; Medpace; U.S. Department of Defense; Eli Lilly and Company; Bristol-Myers Squibb; Novartis Pharmaceuticals Corporation; Synarc; National Institute on Aging; Alzheimer's Association; Texas Tech University","keywords":"Identification (biology); Disease; Genetics; Biology; Lead (geology); Computational biology; Medicine; Internal medicine; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00481479,0.001349238,0.001064844,0.002195703,0.0003522419,0.001015086,0.000668863,0.0009460296,0.001392462],"category_scores_gemma":[0.0116537,0.0003756522,0.001300035,0.002452692,0.0009715072,0.0006565567,0.000774278,0.0007535693,0.0004459229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002231288,"about_ca_system_score_gemma":0.0003588358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001397437,"about_ca_topic_score_gemma":0.001556148,"domain_scores_codex":[0.9972603,0.001497892,0.0001353159,0.0006262058,0.0003159189,0.0001643712],"domain_scores_gemma":[0.9919916,0.005053099,0.001445986,0.0008407604,0.0004009441,0.0002675977],"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":[0.001693217,0.000132261,0.9253423,0.0001817337,0.001846816,0.001071234,0.0002129016,0.001239146,0.02086768,0.001095811,0.0004146601,0.04590224],"study_design_scores_gemma":[0.0001572911,0.0008307449,0.9749007,0.00007098317,0.001407888,0.001299248,0.0002151282,0.006143275,0.005256766,0.007428126,0.002236722,0.00005310055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784055,0.002631561,0.01536848,0.001252262,0.0001330884,0.00003538362,0.0005541994,0.00006680332,0.001552808],"genre_scores_gemma":[0.9872386,0.001123293,0.01019841,0.00048158,0.0001239455,0.00003904695,0.0003459495,0.00002440913,0.0004246953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00481479,"threshold_uncertainty_score":0.02546334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04126114009146568,"score_gpt":0.2918701389136234,"score_spread":0.2506089988221577,"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."}}