{"id":"W2885764193","doi":"10.3389/fgene.2018.00294","title":"Multi-omic Directed Networks Describe Features of Gene Regulation in Aged Brains and Expand the Set of Genes Driving Cognitive Decline","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institute on Aging","keywords":"Cognition; Set (abstract data type); Gene; Gene regulatory network; Computational biology; Biology; Computer science; Neuroscience; Genetics; Gene expression","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000641913,0.0005398139,0.0004588097,0.002663542,0.0004987543,0.0008221521,0.0004523566,0.0003477341,0.002877947],"category_scores_gemma":[0.002394391,0.0002428663,0.001175288,0.002113717,0.0004051058,0.0007899672,0.0007430288,0.0005164099,0.0004233955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007735603,"about_ca_system_score_gemma":0.0004989103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00695866,"about_ca_topic_score_gemma":0.01788496,"domain_scores_codex":[0.9996248,0.00009032165,0.00002213357,0.0001800366,0.00004675358,0.0000358588],"domain_scores_gemma":[0.9984815,0.000921337,0.0002978553,0.0001582225,0.00008807131,0.00005315937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004714028,0.0001955447,0.6209912,0.001709565,0.002449366,0.0007309918,0.0008642752,0.1450103,0.04425487,0.03947938,0.008130571,0.1357125],"study_design_scores_gemma":[0.00004504027,0.0001143863,0.4619341,0.0001823908,0.0009916215,0.0008201067,0.0004057965,0.3090151,0.006410082,0.1980257,0.02199215,0.00006350606],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6462229,0.004361505,0.2900572,0.0009422746,0.00005392576,0.0001625766,0.04600732,0.001715767,0.0104764],"genre_scores_gemma":[0.9493655,0.001355003,0.0332556,0.0002255103,0.00004073582,0.0001726008,0.01405158,0.000140376,0.001393045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00695866,"threshold_uncertainty_score":0.01383632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009245540702434902,"score_gpt":0.2386015552903907,"score_spread":0.2293560145879558,"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."}}