{"id":"W3105479100","doi":"10.1101/2019.12.23.887364","title":"Donor specific transcriptomic analysis of Alzheimer’s disease associated hypometabolism highlights a unique donor, microglia, and ribosomal proteins","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Holland Bloorview Kids Rehabilitation Hospital; Baycrest Hospital; University of Victoria; SickKids Foundation; University of Toronto; Centre for Addiction and Mental Health","funders":"Natural Sciences and Engineering Research Council of Canada; Centre for Addiction and Mental Health Foundation","keywords":"Biology; Microglia; Neuroscience; Entorhinal cortex; Transcriptome; Neurodegeneration; Human brain; Middle temporal gyrus; Dentate gyrus; Pathology; Gene; Hippocampus; Gene expression; Genetics; Medicine; Disease; Inflammation; Immunology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004166442,0.0006256388,0.001655419,0.001906803,0.0003998827,0.0012549,0.0005044129,0.0005770024,0.001268276],"category_scores_gemma":[0.003840941,0.0003287911,0.005315681,0.002686221,0.0004669201,0.0004444268,0.0005473019,0.000620729,0.0001131474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429775,"about_ca_system_score_gemma":0.0003055778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881068,"about_ca_topic_score_gemma":0.003022353,"domain_scores_codex":[0.9972893,0.001105197,0.0002953439,0.0008758641,0.0002726396,0.000161716],"domain_scores_gemma":[0.9958361,0.002143259,0.000954528,0.0005760917,0.0003567751,0.0001332131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00564262,0.00004621728,0.7970681,0.005279167,0.1431705,0.0005533783,0.0002538368,0.0009876899,0.02174128,0.0004541489,0.001272742,0.02353032],"study_design_scores_gemma":[0.0001806277,0.000507143,0.8851243,0.0006019843,0.1023582,0.0009504934,0.0003123443,0.001713746,0.003769921,0.001379241,0.00306403,0.00003785635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8456312,0.142049,0.004699824,0.0008060297,0.0001772663,0.00003780432,0.005423419,0.00007831908,0.001097163],"genre_scores_gemma":[0.9939797,0.004035126,0.0006850875,0.0001859266,0.00004459363,0.00002086588,0.0008939091,0.00002293451,0.0001318364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004166442,"threshold_uncertainty_score":0.02203453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135638266240024,"score_gpt":0.2499446503530416,"score_spread":0.2285882676906414,"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."}}