{"id":"W3117245766","doi":"10.20900/immunometab20210002","title":"Gearing up for the Future: Mitigating Dysregulated Inflammation in Aging and Facets of Obesity","year":2020,"lang":"en","type":"article","venue":"Immunometabolism","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Obesity; Overweight; Metabolic syndrome; Inflammation; Medicine; Psychological intervention; Population ageing; Population; Immune system; Systemic inflammation; Gerontology; Immunology; Environmental health; 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":[0.0009503609,0.000456767,0.000725596,0.001076327,0.0003703765,0.001484233,0.0004051663,0.001177009,0.003054723],"category_scores_gemma":[0.001339318,0.0001291487,0.0004829772,0.0007068322,0.0007149469,0.001330134,0.0007670493,0.001883026,0.0008036374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004773071,"about_ca_system_score_gemma":0.001104099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000792173,"about_ca_topic_score_gemma":0.001635692,"domain_scores_codex":[0.9996558,0.000126109,0.00003761981,0.00004714699,0.00009413644,0.00003904656],"domain_scores_gemma":[0.9994947,0.00021071,0.00008308145,0.00001808942,0.0001377597,0.00005573539],"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":[0.0004078819,0.0002045072,0.002137332,0.02330934,0.0003787265,0.0005138837,0.0005665608,0.0005296391,0.01380475,0.02629676,0.05595549,0.8758951],"study_design_scores_gemma":[0.00004914269,0.0005251053,0.007050132,0.01312016,0.0003488425,0.001829735,0.0007711438,0.0003863309,0.004771616,0.02177495,0.9493105,0.00006233494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001779877,0.9864621,0.001030353,0.006760081,0.001485187,0.00001219221,0.00004429352,0.00002676452,0.002399103],"genre_scores_gemma":[0.01569927,0.9753664,0.001721123,0.003547271,0.001966246,0.00002941366,0.00005412756,0.000007568201,0.001608652],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003054723,"threshold_uncertainty_score":0.0102191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460206435017593,"score_gpt":0.2530162544306233,"score_spread":0.2384141900804474,"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."}}