{"id":"W2792822665","doi":"10.17269/s41997-018-0043-8","title":"The accuracy of Canadian Nutrient File data for reporting phosphorus, potassium, sodium, and protein in selected meat, poultry, and fish products","year":2018,"lang":"en","type":"letter","venue":"Canadian Journal of Public Health","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ontario Institute of Technology; University of Toronto; University of Ottawa; St. Michael's Hospital","funders":"Canadian Foundation for Dietetic Research","keywords":"Fish <Actinopterygii>; Potassium; Phosphorus; Nutrient; Food science; Sodium; Fishery; Chemistry; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01591064,0.0002798951,0.0006512378,0.002896479,0.004789759,0.002517962,0.003659561,0.007625713,0.004423335],"category_scores_gemma":[0.1172597,0.0004672806,0.0005772361,0.004510934,0.00183446,0.001152055,0.00102856,0.005986717,0.001595098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03570449,"about_ca_system_score_gemma":0.05119292,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9312534,"about_ca_topic_score_gemma":0.9249913,"domain_scores_codex":[0.9771413,0.002170175,0.004510959,0.001060708,0.01264161,0.002475321],"domain_scores_gemma":[0.8448926,0.03837173,0.006173618,0.003770886,0.1025558,0.004235449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001626491,0.00003175304,0.02934018,0.0001413471,0.00002250756,0.0007062439,0.0006230777,0.0001743731,0.0002383064,0.002352063,0.9263238,0.03988365],"study_design_scores_gemma":[0.0001731719,0.00006739486,0.1235195,0.002142893,0.0001121659,0.001516712,0.002850595,0.002040806,0.001252048,0.003015505,0.8630835,0.0002257535],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01501778,0.002829091,0.0006447554,0.9207559,0.008097193,0.0001211015,0.01041604,0.0001398767,0.04197831],"genre_scores_gemma":[0.2538832,0.00756263,0.005024265,0.6815182,0.007135457,0.000336978,0.01092194,0.0002638813,0.0333535],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06874657,"threshold_uncertainty_score":0.2590554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09974698986745206,"score_gpt":0.3112895165994412,"score_spread":0.2115425267319891,"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."}}