{"id":"W4362507125","doi":"10.1186/s12979-023-00339-7","title":"Adiponectin deficiency accelerates brain aging via mitochondria-associated neuroinflammation","year":2023,"lang":"en","type":"article","venue":"Immunity & Ageing","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"Sanming Project of Medicine in Shenzhen; Shenzhen-Hong Kong Institute of Brain Science; National Natural Science Foundation of China","keywords":"Neuroinflammation; Internal medicine; Endocrinology; Microglia; Medicine; Inflammation; Adiponectin; Aging brain; Immunosenescence; Adipokine; Downregulation and upregulation; Mitochondrion; Biology; Immunology; Diabetes mellitus; Cell biology; Insulin resistance; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007243754,0.0002156829,0.0003219594,0.0004150477,0.000594856,0.00009259671,0.0001791396,0.0001025603,0.0001394974],"category_scores_gemma":[0.002524725,0.000224815,0.0001512398,0.001227459,0.00007324399,0.0003931925,0.00007998721,0.0003158952,0.0002570752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000088001,"about_ca_system_score_gemma":0.000171907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006547725,"about_ca_topic_score_gemma":0.0001046575,"domain_scores_codex":[0.9981267,0.0002879665,0.0004566744,0.0002490934,0.0003909137,0.0004886054],"domain_scores_gemma":[0.9985389,0.0004087254,0.0002026453,0.0004328758,0.000245394,0.0001714856],"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":[0.0002446269,0.0006325815,0.0235617,0.0006194292,0.0004156531,0.0008420962,0.027624,0.001647189,0.7926556,0.001017821,0.007622627,0.1431166],"study_design_scores_gemma":[0.002763759,0.0001265891,0.9522578,0.0004938,0.0004442776,0.0000489682,0.002492026,0.006919659,0.01232359,0.0009856499,0.02055608,0.000587881],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914806,0.0003495638,0.0004324094,0.002564021,0.0004700627,0.0004531982,0.000005447042,0.0008462816,0.003398452],"genre_scores_gemma":[0.9959921,0.0002004732,0.0001184419,0.0003572421,0.0003151271,0.00003510038,0.0003553496,0.00004963688,0.002576558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.928696,"threshold_uncertainty_score":0.9167691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376058899578419,"score_gpt":0.2843169453129544,"score_spread":0.2605563563171702,"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."}}