{"id":"W4402809969","doi":"10.1002/nep3.56","title":"Microglial senescence in neurodegeneration: Insights, implications, and therapeutic opportunities","year":2024,"lang":"en","type":"article","venue":"Neuroprotection/Neuroprotection (Chichester, England. Print)","topic":"Neuroinflammation and Neurodegeneration Mechanisms","field":"Neuroscience","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fogarty International Center; National Institutes of Health","keywords":"Neurodegeneration; Senescence; Microglia; Neuroscience; Disease; Amyotrophic lateral sclerosis; Biology; Dementia; Neuroinflammation; Medicine; Immunology; Pathology; Inflammation; Cell biology","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":[0.0009353488,0.0006137184,0.001085719,0.001038276,0.0003535234,0.001336228,0.0005217767,0.001306373,0.002157198],"category_scores_gemma":[0.0003731407,0.0001855462,0.0004046228,0.0009349461,0.0009451845,0.001372211,0.0008312212,0.001995493,0.001059377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007358284,"about_ca_system_score_gemma":0.0009224038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006085644,"about_ca_topic_score_gemma":0.001984869,"domain_scores_codex":[0.9998289,0.00005044321,0.00001714493,0.00002276622,0.00004726511,0.00003335651],"domain_scores_gemma":[0.999744,0.00009109823,0.00003722234,0.00001087995,0.00006706351,0.00004974231],"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":[0.0005295147,0.0001895335,0.0005819137,0.01402771,0.00009133967,0.001877857,0.0007232798,0.0007094476,0.02317812,0.02576894,0.04496188,0.8873605],"study_design_scores_gemma":[0.00006932838,0.000690803,0.002519091,0.003861417,0.0001007491,0.003367535,0.000643831,0.0004263195,0.003384585,0.0208092,0.9640784,0.00004877986],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005191954,0.9964333,0.0002467033,0.001401024,0.0003834593,0.000003468853,0.00001185762,0.000009201057,0.0009918718],"genre_scores_gemma":[0.004634334,0.9928305,0.000351596,0.0004350331,0.000683769,0.00001130337,0.0000167908,0.000002331079,0.001034438],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002157198,"threshold_uncertainty_score":0.007216573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06457744559100001,"score_gpt":0.2646439844093648,"score_spread":0.2000665388183648,"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."}}