{"id":"W3112816657","doi":"10.1002/alz.046394","title":"Leveraging predicted gene expression data for recapitulation of gene coexpression network analysis associations with AD pathology and cognitive decline","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Neuropathology; Context (archaeology); False discovery rate; Cognition; Cognitive decline; Biology; Gene expression; Expression quantitative trait loci; Transcriptome; Neuropsychology; Prefrontal cortex; Dorsolateral prefrontal cortex; Disease; Computational biology; Gene; Dementia; Genetics; Neuroscience; Medicine; Genotype; Pathology; Single-nucleotide polymorphism","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":[0.001420241,0.0005860081,0.000419403,0.001405858,0.0002748118,0.0006952125,0.0005755093,0.000252805,0.001253709],"category_scores_gemma":[0.00345416,0.0002100857,0.0007779025,0.001220141,0.0003277246,0.0003058104,0.000648225,0.0007309713,0.0003157212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004029348,"about_ca_system_score_gemma":0.0004430518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002090769,"about_ca_topic_score_gemma":0.003723104,"domain_scores_codex":[0.9993093,0.0001895375,0.00003251958,0.0003194896,0.00009666885,0.00005250874],"domain_scores_gemma":[0.9986921,0.0006926596,0.0002147136,0.0002350179,0.0001209447,0.0000444646],"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":[0.0008001684,0.0002866605,0.4585541,0.000530682,0.002591067,0.0006001398,0.0004056154,0.1355484,0.2880596,0.005543865,0.003237173,0.1038425],"study_design_scores_gemma":[0.00004970176,0.0002961532,0.327295,0.00005141889,0.0006484379,0.0006169864,0.0001117476,0.605172,0.04747436,0.01027755,0.007915586,0.00009104629],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6921273,0.0005457143,0.2946491,0.0001389809,0.00004474308,0.0001175835,0.009551551,0.001548233,0.001276751],"genre_scores_gemma":[0.9053986,0.0001604119,0.08598172,0.00009625497,0.00002274091,0.0002273759,0.007468395,0.000174727,0.0004695859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002090769,"threshold_uncertainty_score":0.007511079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02953789676598249,"score_gpt":0.2693228572652641,"score_spread":0.2397849604992816,"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."}}