{"id":"W3197099748","doi":"10.3390/nu13093115","title":"Examining the Prevalence, Nutritional Quality and Marketing of Foods with Voluntary Nutrient Additions in the Canadian Food Supply","year":2021,"lang":"en","type":"article","venue":"Nutrients","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Nutrient; Environmental health; Population; Business; Nutrient density; Turnover; Quality (philosophy); Fortification; Food science; Biotechnology; Medicine; Biology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001555427,0.0002250515,0.0002191897,0.002412408,0.001955566,0.00130747,0.0007902489,0.0005121132,0.00180504],"category_scores_gemma":[0.005079577,0.0002417117,0.0003584418,0.004224258,0.0009461471,0.0004247601,0.0006822018,0.0005440623,0.0001103716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0144693,"about_ca_system_score_gemma":0.01315656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9807,"about_ca_topic_score_gemma":0.9888279,"domain_scores_codex":[0.9981932,0.0001261716,0.00007672733,0.0001449031,0.001163509,0.0002954348],"domain_scores_gemma":[0.9965889,0.0003878933,0.0009796983,0.0001075086,0.001554671,0.0003814195],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007092519,0.00004253514,0.9779599,0.00009720895,0.00004483082,0.0001207568,0.004872025,0.00003974027,0.0008338442,0.0002479254,0.0009133687,0.01475694],"study_design_scores_gemma":[0.000001457014,0.00001712528,0.9955131,0.00003115589,0.00001691868,0.00007189741,0.002568374,0.0001144791,0.0001114588,0.00001735388,0.001528077,0.000008616724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931709,0.0007907022,0.0001140697,0.0006523359,0.00001019359,0.0000294619,0.0007984854,0.000006092826,0.004427723],"genre_scores_gemma":[0.9975184,0.0009548361,0.0002913095,0.0001559092,0.000006027612,0.000008186285,0.0002802437,0.000003030194,0.0007821196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01929998,"threshold_uncertainty_score":0.1049826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04873390097964132,"score_gpt":0.2868615519501672,"score_spread":0.2381276509705259,"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."}}