{"id":"W3169888566","doi":"10.1002/glia.24047","title":"Regulation of microglia population dynamics throughout development, health, and disease","year":2021,"lang":"en","type":"review","venue":"Glia","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta Hospital; Women and Children’s Health Research Institute; University of Alberta","funders":"Canadian Institutes of Health Research; Azrieli Foundation; University of Alberta; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Biology; Microglia; Neuroscience; Population; Disease; Immunology; Environmental health; Inflammation; Pathology; Medicine","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":[0.0003457178,0.0007049167,0.000920158,0.001716908,0.0002389631,0.0008581836,0.000610677,0.0007864243,0.00165152],"category_scores_gemma":[0.0004769633,0.0002273572,0.0003633835,0.001369928,0.0003618595,0.0009687038,0.0005332283,0.0008738372,0.001083831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005773508,"about_ca_system_score_gemma":0.0009332462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001016615,"about_ca_topic_score_gemma":0.001507904,"domain_scores_codex":[0.9998599,0.00002330509,0.00002252854,0.0000287172,0.00004732566,0.00001814362],"domain_scores_gemma":[0.9998627,0.00004959213,0.00002551492,0.000004604155,0.00004351598,0.00001410594],"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":[0.00009495633,0.00004772177,0.0004043065,0.02047892,0.0000742037,0.000271304,0.000110224,0.0006902743,0.00634779,0.005081865,0.01795011,0.9484484],"study_design_scores_gemma":[0.00001280093,0.0001369612,0.002855103,0.005199119,0.0001524825,0.002412038,0.0001213067,0.0002206633,0.002141577,0.004065445,0.9826525,0.00002993855],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002628451,0.9982406,0.0001746908,0.0002137576,0.0001311432,0.000003973811,0.00002244211,0.000008076126,0.0009424949],"genre_scores_gemma":[0.001111954,0.998238,0.0001334266,0.00006082409,0.00008059735,0.000005556848,0.00002222131,0.000001011722,0.0003463814],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001716908,"threshold_uncertainty_score":0.005524874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07293963318643407,"score_gpt":0.3493759063413107,"score_spread":0.2764362731548766,"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."}}