{"id":"W4206735995","doi":"10.3389/fnut.2021.815947","title":"Lycium barbarum Extracts Extend Lifespan and Alleviate Proteotoxicity in Caenorhabditis elegans","year":2022,"lang":"en","type":"article","venue":"Frontiers in Nutrition","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Institute of Biophysics, Chinese Academy of Sciences; Youth Innovation Promotion Association; Key Research and Development Program of Ningxia; National Key Research and Development Program of China; Youth Innovation Promotion Association of the Chinese Academy of Sciences","keywords":"Longevity; Lycium; Berry; Proteotoxicity; Caenorhabditis elegans; Biology; Botany; Medicine; Cell biology; Biochemistry; Protein aggregation; Genetics; Gene","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009053428,0.0005275747,0.0003228816,0.0003400132,0.0001750198,0.0001242607,0.0001722709,0.0002012913,0.000505372],"category_scores_gemma":[0.00005007453,0.0001108218,0.0002158914,0.0001121719,0.0001260078,0.0001801144,0.0001919982,0.0004207506,0.000104521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001796401,"about_ca_system_score_gemma":0.0002093654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009772517,"about_ca_topic_score_gemma":0.002594897,"domain_scores_codex":[0.9999564,0.000005496398,0.000004317909,0.0000097483,0.00001154715,0.00001258308],"domain_scores_gemma":[0.9999491,0.000003822642,0.00001842252,0.000003356327,0.000008084418,0.00001714268],"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":[0.0002039836,0.00004535877,0.0001202606,0.0001020872,0.000006697212,0.0000251142,0.0000112505,0.00004855934,0.9981394,0.00003026859,0.00004743103,0.001219622],"study_design_scores_gemma":[0.0001098984,0.00157256,0.02251807,0.00003600417,0.00007943327,0.0001258835,0.00006451797,0.001439483,0.9690609,0.00009492051,0.004881157,0.00001715535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942929,0.00275612,0.001226725,0.0001293086,0.0000338535,0.00003090603,0.0005606284,0.0001668204,0.0008027952],"genre_scores_gemma":[0.9921948,0.002230808,0.002228678,0.00008982985,0.00001247939,0.00004352405,0.0006204674,0.00002585837,0.002553516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009772517,"threshold_uncertainty_score":0.001943171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005568168405996479,"score_gpt":0.2039609223048022,"score_spread":0.1983927538988057,"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."}}