{"id":"W4387142551","doi":"10.1016/j.cell.2023.08.037","title":"Human microglial state dynamics in Alzheimer’s disease progression","year":2023,"lang":"en","type":"article","venue":"Cell","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":412,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada); University of British Columbia","funders":"National Human Genome Research Institute; National Institute on Aging; National Institutes of Health; Robert A. and Renee E. Belfer Family Foundation; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Cure Alzheimer's Fund; JPB Foundation; National Institute on Drug Abuse; Howard Hughes Medical Institute","keywords":"Biology; Microglia; Alzheimer's disease; Neuroscience; Dynamics (music); Disease; Inflammation; Immunology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001662598,0.0001362763,0.0002359904,0.000485289,0.0001951859,0.0002785749,0.00008217791,0.000140149,0.0009553677],"category_scores_gemma":[0.0002156838,0.0001183129,0.0001672319,0.0005503516,0.0001247304,0.0001511145,0.00019922,0.0001158365,0.0003155166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001766981,"about_ca_system_score_gemma":0.0001058373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187178,"about_ca_topic_score_gemma":0.002655247,"domain_scores_codex":[0.9999287,0.00001117217,0.000004850725,0.00002784896,0.00001577887,0.00001164628],"domain_scores_gemma":[0.9999398,0.00001198135,0.00002029878,0.000009187936,0.00001362554,0.000005204255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001783522,0.00004793004,0.2402442,0.0002852432,0.0001719632,0.0005765199,0.001098837,0.001784932,0.6951105,0.0004347842,0.001242909,0.05721859],"study_design_scores_gemma":[0.00002019609,0.0001474186,0.92045,0.00003888612,0.0001620172,0.00184719,0.0004986018,0.002904871,0.06560504,0.001602986,0.006687085,0.00003585395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917127,0.002018383,0.002307141,0.00003476965,0.00000432202,0.00001170373,0.002926208,0.00005395355,0.0009309265],"genre_scores_gemma":[0.9923041,0.001118673,0.002591723,0.00003309454,0.000005728429,0.00003056554,0.00331624,0.00001659032,0.0005833239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001187178,"threshold_uncertainty_score":0.003196061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354891155780605,"score_gpt":0.3051672845167821,"score_spread":0.2616183729589761,"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."}}