{"id":"W1950367999","doi":"10.1093/jn/133.1.232","title":"Implications of Day-to-Day Variability on Measurements of Usual Food and Nutrient Intakes","year":2003,"lang":"en","type":"article","venue":"Journal of Nutrition","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke; McGill University","funders":"","keywords":"Confounding; Nutrient; Demography; Medicine; Statistics; Repeated measures design; Food group; Animal science; Mathematics; Environmental health; Biology; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008115566,0.00007613314,0.0003012457,0.0001302346,0.00004375251,0.000003742661,0.00003695264,0.00004416754,0.00002215901],"category_scores_gemma":[0.0007328865,0.00006302141,0.00009886384,0.000173058,0.00004846094,0.00004914551,0.000009519666,0.00009541881,5.725328e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008540202,"about_ca_system_score_gemma":0.00004676355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002486812,"about_ca_topic_score_gemma":0.000002319168,"domain_scores_codex":[0.9988865,0.00009426941,0.0004979683,0.00009448898,0.0003354737,0.00009126416],"domain_scores_gemma":[0.9986374,0.0001911602,0.0002722602,0.0001052065,0.0006846157,0.0001093604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004158766,0.04346011,0.4812259,0.003130449,0.001408641,0.00001167848,0.0009279329,0.00002227344,0.365724,0.0513732,0.04232851,0.006228489],"study_design_scores_gemma":[0.01076776,0.01165352,0.7547312,0.001933741,0.0003737925,0.0001456895,0.0005440244,0.000002035699,0.1685778,0.0418876,0.009207856,0.0001749571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924968,0.0007045788,0.001415684,0.003035451,0.000128562,0.0003997454,0.00006427367,0.000003497513,0.001751423],"genre_scores_gemma":[0.9967988,0.0002849255,0.00265557,0.0001380675,0.00009944751,0.00001005131,0.000004798966,0.000005383919,0.000002988905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2735053,"threshold_uncertainty_score":0.2569939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05632908103817937,"score_gpt":0.3086058753817746,"score_spread":0.2522767943435952,"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."}}