{"id":"W2994188384","doi":"","title":"A surveillance tool to assess diets according to Eating Well with Canada's Food Guide.","year":2015,"lang":"en","type":"article","venue":"PubMed","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Health Canada","funders":"","keywords":"Micronutrient; Environmental health; Nutrient; Food group; Dietary Reference Intake; Portion size; Food science; Statistics; Medicine; Demography; Mathematics; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004867403,0.0007751166,0.0004870814,0.008434804,0.001147706,0.00137885,0.001476902,0.0003932776,0.007230175],"category_scores_gemma":[0.01842322,0.0003705779,0.0007626967,0.007170056,0.000336214,0.0009083361,0.001087726,0.000546933,0.001261045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008980921,"about_ca_system_score_gemma":0.01936237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7676414,"about_ca_topic_score_gemma":0.8127946,"domain_scores_codex":[0.9976059,0.0003490494,0.0003551871,0.0002619927,0.001225149,0.0002026356],"domain_scores_gemma":[0.9842216,0.002852081,0.002335621,0.0005680211,0.00912756,0.0008951282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004901502,0.0002584781,0.5737643,0.0009254214,0.0002287051,0.0001440434,0.001724135,0.00310893,0.000746197,0.001500091,0.1581688,0.2589408],"study_design_scores_gemma":[0.0001611062,0.0002347023,0.8789276,0.0005950488,0.0001179669,0.0002186064,0.002128549,0.01245645,0.001427245,0.0007243815,0.1028791,0.0001292348],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3025843,0.00123855,0.04866192,0.002620547,0.0003399168,0.01131823,0.559304,0.009723337,0.06420924],"genre_scores_gemma":[0.5639891,0.001174305,0.2106399,0.0009070895,0.00005591364,0.008823774,0.2026282,0.00034142,0.01144034],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2323586,"threshold_uncertainty_score":0.4674541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05735957290643318,"score_gpt":0.2621921261809712,"score_spread":0.204832553274538,"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."}}