{"id":"W2015206712","doi":"10.1080/21551197.2013.781419","title":"Exploration of Functional Food Consumption in Older Adults in Relation to Food Matrices, Bioactive Ingredients, and Health","year":2013,"lang":"en","type":"article","venue":"Journal of Nutrition in Gerontology and Geriatrics","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Functional food; Medicine; Consumption (sociology); Environmental health; Food science; Health benefits; Dietary fiber; Gerontology; Traditional medicine","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":[0.001277712,0.0001629014,0.0001946213,0.0007941422,0.0003614501,0.0004983238,0.0001035789,0.000435329,0.0009396918],"category_scores_gemma":[0.003794793,0.0001586013,0.0002622168,0.0006492476,0.0002765732,0.0004662477,0.0003606944,0.0003030231,0.00007570597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833185,"about_ca_system_score_gemma":0.0002109114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003859706,"about_ca_topic_score_gemma":0.009282487,"domain_scores_codex":[0.9996847,0.0001240715,0.0000416566,0.00002938812,0.00008825138,0.0000318178],"domain_scores_gemma":[0.9981343,0.000622108,0.0007811559,0.00005384406,0.0002828722,0.0001257391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000106377,0.000164102,0.9828051,0.00007865798,0.00004316112,0.00006448743,0.003995994,0.00001581638,0.0006596337,0.0000335103,0.00008617849,0.01194695],"study_design_scores_gemma":[0.000004268517,0.0003361761,0.9945185,0.00003653803,0.00002828045,0.0001464242,0.004355689,0.0000620201,0.0001137958,0.00004360619,0.0003503784,0.00000436134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991997,0.0002450724,0.00003797904,0.00005529662,0.000001688559,0.000006149203,0.00003102705,7.39542e-7,0.0004223423],"genre_scores_gemma":[0.999108,0.0003891122,0.0002045139,0.00008709995,0.000004944573,0.00000770607,0.00004820003,4.778613e-7,0.0001498194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003859706,"threshold_uncertainty_score":0.007674456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06005285004634693,"score_gpt":0.3060578335434143,"score_spread":0.2460049834970674,"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."}}