{"id":"W4405102647","doi":"10.1016/j.celrep.2024.115052","title":"Microglia degrade Alzheimer’s amyloid-beta deposits extracellularly via digestive exophagy","year":2024,"lang":"en","type":"article","venue":"Cell Reports","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université Laval; University of Victoria","funders":"National Heart, Lung, and Blood Institute; National Institute on Aging; National Research Council Canada; National Institutes of Health; Vetenskapsrådet; Canada Research Chairs; Vanderbilt University Medical Center; Cure Alzheimer's Fund; Leon Levy Foundation","keywords":"Microglia; Amyloid (mycology); BETA (programming language); Amyloid beta; Alzheimer's disease; Chemistry; Neuroscience; Cell biology; Biology; Biochemistry; Disease; Inflammation; Medicine; Pathology; Immunology; Computer science; Peptide","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":[0.0002189574,0.0005175758,0.0003334822,0.0003049911,0.0003760472,0.000514203,0.000163698,0.0004468413,0.0007900967],"category_scores_gemma":[0.0001443351,0.0001446715,0.0006207589,0.0001337402,0.0002093351,0.0005012199,0.0004333474,0.0003888686,0.0004977934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030626,"about_ca_system_score_gemma":0.0002304957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005843235,"about_ca_topic_score_gemma":0.0007930743,"domain_scores_codex":[0.9998075,0.00003390273,0.00001671426,0.00002934882,0.00004461648,0.00006803012],"domain_scores_gemma":[0.9999228,0.00000836971,0.00002042504,0.00001167145,0.00002101914,0.00001583279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003573872,0.00005731136,0.001224793,0.0001793706,0.00004107335,0.0007807726,0.0001150056,0.0001107808,0.9869915,0.0004349813,0.0004295259,0.009277516],"study_design_scores_gemma":[0.00009556971,0.0006735089,0.03271701,0.0000822353,0.000120855,0.003198103,0.0003303982,0.001903997,0.9405828,0.001607251,0.01866181,0.00002651118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706597,0.0153383,0.006747487,0.0007440353,0.0001622368,0.00005824776,0.0002587349,0.000144928,0.005886399],"genre_scores_gemma":[0.9850676,0.007058703,0.003422876,0.0002768107,0.00004232474,0.00005941654,0.0001763058,0.0000131772,0.003882744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007900967,"threshold_uncertainty_score":0.002643108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807637888138374,"score_gpt":0.2957726360469983,"score_spread":0.2676962571656146,"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."}}