{"id":"W4283777171","doi":"10.1016/j.nutres.2022.06.009","title":"Contribution of beef to key nutrient intakes in American adults: an updated analysis with NHANES 2011-2018","year":2022,"lang":"en","type":"article","venue":"Nutrition Research","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Niacin; Nutrient; Beef cattle; Dietary Reference Intake; Animal science; Food science; Vitamin; National Health and Nutrition Examination Survey; Vitamin B12; Reference Daily Intake; Micronutrient; Vitamin E; Medicine; Chemistry; Biology; Environmental health; Population; Internal medicine; Biochemistry","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":[0.0007147606,0.0002542366,0.0002350121,0.0007690302,0.0001859195,0.00032526,0.0003015447,0.0002132138,0.001107352],"category_scores_gemma":[0.000925369,0.000215377,0.0006615556,0.001991477,0.00008712897,0.0002926741,0.0003093964,0.0003590285,0.000205506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004859005,"about_ca_system_score_gemma":0.0004501085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07635686,"about_ca_topic_score_gemma":0.1107492,"domain_scores_codex":[0.9997211,0.00005631518,0.00004725203,0.00007354543,0.00007324347,0.00002851841],"domain_scores_gemma":[0.9995148,0.00005634416,0.0001919186,0.00003156037,0.0001689813,0.00003635765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003840452,0.00003389431,0.9875166,0.0001875325,0.0005967112,0.00003831397,0.00008543423,0.0001673868,0.0003230893,0.00002647997,0.002318019,0.00832241],"study_design_scores_gemma":[0.000007316182,0.00002160834,0.997876,0.00002627189,0.0002234915,0.00004255107,0.00008576317,0.0001482559,0.00006390097,0.00001090786,0.001491169,0.00000278786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9554849,0.005148664,0.0004641073,0.0002289065,0.00005890367,0.00003419294,0.0369662,0.00003908749,0.001575008],"genre_scores_gemma":[0.9761112,0.002294229,0.0006924,0.0001973138,0.00003448873,0.00005557254,0.01951241,0.000009459588,0.001093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07635686,"threshold_uncertainty_score":0.1518248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212154631641286,"score_gpt":0.2935446817119589,"score_spread":0.281423135395546,"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."}}