{"id":"W4310291389","doi":"10.1016/j.appet.2022.106399","title":"Consideration of nutrients of public health concern highlighted in the Dietary Guidelines for Americans 2020–2025 among a large sample of US primary shoppers","year":2022,"lang":"en","type":"article","venue":"Appetite","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Institute of Agriculture and Natural Resources","keywords":"Nutrient; Calorie; Environmental health; Population; Sample (material); Public health; Medicine; Consumption (sociology); Quarter (Canadian coin); Overconsumption; Gerontology; Demography; Toxicology; Geography; Biology; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000864944,0.0001275901,0.000170916,0.0007265478,0.0006230358,0.000789656,0.0002129515,0.0006039954,0.0008624931],"category_scores_gemma":[0.00267589,0.0001167772,0.0002254651,0.0009155087,0.0002301222,0.0003171216,0.0003140308,0.0006333843,0.00009979252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002702222,"about_ca_system_score_gemma":0.0005480212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02754928,"about_ca_topic_score_gemma":0.09488811,"domain_scores_codex":[0.9996624,0.00009753798,0.000042986,0.00003388107,0.0001196266,0.00004355409],"domain_scores_gemma":[0.9987844,0.0004514871,0.0003492801,0.00003969382,0.0002291413,0.000145888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001739822,0.0001179664,0.9821525,0.00009075233,0.00005314462,0.0002789044,0.000883151,0.00002562053,0.001135379,0.0001276944,0.002017122,0.01294379],"study_design_scores_gemma":[0.000004790557,0.00005979069,0.9957741,0.00004348725,0.00002308104,0.0001974826,0.001706691,0.0000783459,0.0001280224,0.00005781434,0.001921656,0.000004803348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915536,0.001315867,0.0002236709,0.002700832,0.00008322369,0.00003554275,0.0005338895,0.000006295401,0.003547107],"genre_scores_gemma":[0.995258,0.0005526724,0.0008241745,0.002398465,0.00004131778,0.00003304767,0.0003108299,0.00000333468,0.0005782092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02754928,"threshold_uncertainty_score":0.0547778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1288940983849129,"score_gpt":0.3635390889970502,"score_spread":0.2346449906121373,"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."}}