{"id":"W3132476410","doi":"10.3389/fncel.2021.647378","title":"Microglia Fighting for Neurological and Mental Health: On the Central Nervous System Frontline of COVID-19 Pandemic","year":2021,"lang":"en","type":"review","venue":"Frontiers in Cellular Neuroscience","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia; Université Laval; University of Victoria","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Microglia; Neuroinflammation; Central nervous system; Neuroprotection; Medicine; Neuroscience; Population; Coronavirus; Exacerbation; Pandemic; Immunology; Disease; Coronavirus disease 2019 (COVID-19); Inflammation; Psychology; Pathology; Infectious disease (medical specialty)","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":[0.0003914252,0.0007146928,0.0009385858,0.00156157,0.0003650784,0.001074915,0.0006675766,0.00127031,0.003021185],"category_scores_gemma":[0.0005395117,0.0001695512,0.000388619,0.001253998,0.0004706093,0.001294399,0.0007810125,0.001617494,0.001974981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005769817,"about_ca_system_score_gemma":0.001187949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009626151,"about_ca_topic_score_gemma":0.001699695,"domain_scores_codex":[0.9998593,0.0000309088,0.00001970759,0.00002238656,0.00004815427,0.00001950658],"domain_scores_gemma":[0.9998248,0.0000600105,0.00002260469,0.000005542413,0.00006144269,0.00002553148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009863839,0.00004615441,0.0002076112,0.01323495,0.0000562914,0.0003044681,0.0001378467,0.0002236542,0.001838929,0.005951752,0.06411977,0.91378],"study_design_scores_gemma":[0.00001134783,0.00007285813,0.0009053763,0.004498576,0.00005547371,0.001457818,0.0001044368,0.00005794261,0.0002840946,0.002804008,0.9897346,0.00001339759],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001247347,0.9975588,0.00008002769,0.0006608843,0.0003568374,0.000003015557,0.00001412808,0.000007401581,0.001194163],"genre_scores_gemma":[0.0007033068,0.9978899,0.0001060552,0.0003164245,0.0003172194,0.000004556356,0.00002475266,0.000001724681,0.0006361117],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003021185,"threshold_uncertainty_score":0.01010686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212350978798361,"score_gpt":0.3314916889993686,"score_spread":0.2102565911195326,"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."}}