{"id":"W1967993111","doi":"10.1016/j.jada.2009.06.219","title":"A Method for Using Nutrition Survey Data and the Dietary Reference Intakes to Develop a Computerized Nutrient Analysis of Menu Audit","year":2009,"lang":"en","type":"article","venue":"Journal of the American Dietetic Association","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Langara College","funders":"","keywords":"Audit; Nutrient; Environmental health; Computer science; Medicine; Business; Accounting; Biology","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":[0.01618926,0.00100088,0.0009556404,0.006416033,0.001302358,0.002974689,0.001624679,0.0008060149,0.006153496],"category_scores_gemma":[0.07011294,0.001038962,0.0008048505,0.007164118,0.000651506,0.002562779,0.001942479,0.001507469,0.002733976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121188,"about_ca_system_score_gemma":0.004224638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01122307,"about_ca_topic_score_gemma":0.01249801,"domain_scores_codex":[0.9830609,0.007296234,0.002674022,0.001599167,0.005096294,0.000273449],"domain_scores_gemma":[0.9514048,0.01811806,0.003329918,0.007026674,0.01969546,0.000425215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009529231,0.0006462132,0.04822782,0.0003995184,0.0002982889,0.00009633076,0.001174636,0.004492073,0.0107184,0.01343093,0.02051047,0.8990524],"study_design_scores_gemma":[0.001387408,0.001768594,0.1767469,0.001142291,0.001322191,0.002226287,0.003064641,0.5119575,0.1021325,0.0551224,0.1418833,0.001246116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01438531,0.00008978517,0.9712158,0.0003312321,0.0001327503,0.00270676,0.002051188,0.005249386,0.003837767],"genre_scores_gemma":[0.03650973,0.00005994835,0.9587052,0.00006505148,0.00002554498,0.002166047,0.0008321339,0.000178084,0.001458273],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01618926,"threshold_uncertainty_score":0.08561802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08758527386706895,"score_gpt":0.3858321194833635,"score_spread":0.2982468456162946,"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."}}