{"id":"W3003585681","doi":"10.1101/2020.01.31.929554","title":"Functional biological paths altered in Alzheimer’s disease: from genes to bile acids","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":1,"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; H. Lundbeck A/S; Servier; Eisai; Pfizer; Novartis Pharmaceuticals Corporation; F. Hoffmann-La Roche; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Biology; Phenotype; Gene; Genome-wide association study; Disease; Metabolomics; Genetic association; Mechanism (biology); Single-nucleotide polymorphism; Computational biology; Genetics; Bioinformatics; Medicine; Genotype; Internal medicine","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":[0.000296164,0.0004936824,0.0002932484,0.000725825,0.0002144252,0.0007346236,0.0001444797,0.0003227179,0.002689301],"category_scores_gemma":[0.0005598782,0.000128456,0.0003728393,0.0007442379,0.0003565707,0.0003251437,0.000393957,0.0004061778,0.0003779226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002680905,"about_ca_system_score_gemma":0.0003699656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008462024,"about_ca_topic_score_gemma":0.0006580239,"domain_scores_codex":[0.9998839,0.00002585439,0.000005334729,0.00004162582,0.00002570827,0.0000175506],"domain_scores_gemma":[0.9998098,0.00006198878,0.00005560057,0.00002238724,0.00002098679,0.00002922231],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002416419,0.000276949,0.2427356,0.001320576,0.001302049,0.002683991,0.0005203055,0.0151334,0.6072292,0.01670562,0.008422541,0.1012533],"study_design_scores_gemma":[0.0001604651,0.0003824903,0.7330695,0.0002078297,0.001014961,0.003079738,0.0006260616,0.04206979,0.1088993,0.08537389,0.02501625,0.00009975678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9583131,0.006936255,0.02243713,0.002128993,0.0001211019,0.00002590703,0.00581626,0.000454927,0.003766392],"genre_scores_gemma":[0.9861021,0.001723861,0.008971978,0.0001755042,0.00004639148,0.00001875787,0.001710761,0.00004593092,0.001204626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002689301,"threshold_uncertainty_score":0.008996606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365561280611527,"score_gpt":0.2456068401442877,"score_spread":0.2019512273381724,"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."}}