{"id":"W4282017573","doi":"10.1016/j.nutres.2022.05.006","title":"The evolving role of the Caenorhabditis elegans model as a tool to advance studies in nutrition and health","year":2022,"lang":"en","type":"review","venue":"Nutrition Research","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Caenorhabditis elegans; Biology; Context (archaeology); Human health; Microbiome; Nutraceutical; Biotechnology; Bioinformatics; Environmental health; Genetics; Medicine; Food science","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":[0.001471714,0.00124731,0.001596789,0.002227768,0.0003506345,0.00150912,0.001464471,0.002062374,0.002568984],"category_scores_gemma":[0.001175491,0.0003725064,0.0005123556,0.002074518,0.001091316,0.002057841,0.001025781,0.004264303,0.001685519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214132,"about_ca_system_score_gemma":0.002275999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391544,"about_ca_topic_score_gemma":0.005539484,"domain_scores_codex":[0.9997279,0.00003516866,0.0000321708,0.00004478646,0.0001370874,0.00002291434],"domain_scores_gemma":[0.9991261,0.0003752155,0.00008520456,0.00002980793,0.0002661908,0.0001174793],"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":[0.0001363444,0.00008530101,0.0001289499,0.01232629,0.00008804855,0.0001685435,0.00003517405,0.0004269409,0.0050592,0.01220359,0.07152593,0.8978157],"study_design_scores_gemma":[0.00002521424,0.00006339663,0.0003883502,0.001805757,0.00008553996,0.0003225496,0.00002166666,0.00008993849,0.0005887385,0.00265561,0.9939348,0.00001830529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006548729,0.9976407,0.0003110471,0.000648242,0.0004982471,0.000003751969,0.00002294343,0.00001052212,0.0007990172],"genre_scores_gemma":[0.0002618055,0.9979743,0.0004373091,0.0004264419,0.0002399151,0.000007597608,0.0000311781,0.000002599115,0.0006188796],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002568984,"threshold_uncertainty_score":0.008809209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303303026937835,"score_gpt":0.4498647393685303,"score_spread":0.3195344366747469,"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."}}