{"id":"W2338312595","doi":"10.1038/srep24544","title":"High Resolution Dissection of Reactive Glial Nets in Alzheimer’s Disease","year":2016,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Douglas Mental Health University Institute; McGill University Health Centre; Montreal General Hospital","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research; Canada Research Chairs; Fondation Brain Canada; Pfizer","keywords":"Alzheimer's disease; Disease; Neuroscience; Medicine; Computer science; Pathology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005030985,0.000119321,0.0002063478,0.000275987,0.00009347262,0.00002284342,0.00004360799,0.00004775423,0.0001514751],"category_scores_gemma":[0.0002741541,0.00007749215,0.0001065348,0.0004050233,0.000299098,0.0002414238,0.00004245123,0.00006282637,0.00003285297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001418421,"about_ca_system_score_gemma":0.0004517805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002380183,"about_ca_topic_score_gemma":0.00004804885,"domain_scores_codex":[0.9979651,0.00006196503,0.0003923419,0.0005704971,0.0006928792,0.0003172149],"domain_scores_gemma":[0.9985312,0.00003737868,0.0001901757,0.0006298056,0.0002131693,0.0003983377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004642881,0.003525933,0.8761349,0.00006940151,0.002623308,0.01297607,0.0002635526,0.00001731854,0.06199142,0.0004112398,0.01372446,0.02361948],"study_design_scores_gemma":[0.002353051,0.0003168788,0.8830903,0.0005901188,0.0006533579,0.0002052768,0.00005976791,0.00005669427,0.0979669,0.01273336,0.001731204,0.0002430524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954755,0.001356294,0.00002775162,0.0006141121,0.001410041,0.0005893211,0.00002183752,0.00003614114,0.0004690071],"genre_scores_gemma":[0.9994361,0.00001660324,0.00007052429,0.000007264401,0.00005444062,0.00004679218,0.0001116708,0.00001280578,0.0002437472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03597548,"threshold_uncertainty_score":0.3160038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977822708122704,"score_gpt":0.3142879722391242,"score_spread":0.2845097451578972,"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."}}