{"id":"W1993385637","doi":"10.1108/00346651111170905","title":"Functional foods","year":2011,"lang":"en","type":"article","venue":"Nutrition & Food Science","topic":"Consumer Attitudes and Food Labeling","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; HEC Montréal","funders":"","keywords":"Functional food; Lycopene; Ingredient; Orange (colour); Food science; Production (economics); Nutrient; Health benefits; Biotechnology; Psychology; Biology; Medicine; Traditional medicine; Economics; Carotenoid","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":[0.0009042283,0.000803079,0.0004637078,0.0008411229,0.001028274,0.002071415,0.001189401,0.00120242,0.1429982],"category_scores_gemma":[0.001989709,0.0001811037,0.0005647999,0.001141735,0.0005719622,0.001518693,0.002209818,0.0009197552,0.05679801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006853529,"about_ca_system_score_gemma":0.0009872062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157778,"about_ca_topic_score_gemma":0.002131153,"domain_scores_codex":[0.9992751,0.0001198047,0.00004782517,0.0001803788,0.0002871038,0.0000898249],"domain_scores_gemma":[0.9992742,0.0001342808,0.00008007201,0.0001287861,0.0002841475,0.00009863952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008976448,0.0007003895,0.008065891,0.003320137,0.0000457898,0.0006630567,0.00132831,0.0001957698,0.01097582,0.03464699,0.1542346,0.7849256],"study_design_scores_gemma":[0.0000494553,0.0004849567,0.009201567,0.0006194435,0.00002575665,0.0005900586,0.0008024892,0.00007339683,0.001903737,0.006327794,0.9798942,0.00002718619],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06051952,0.01887303,0.01129442,0.00752133,0.003547364,0.001072322,0.00992666,0.001346368,0.885899],"genre_scores_gemma":[0.2176849,0.01763838,0.03826457,0.007954201,0.0007744174,0.001406742,0.01488378,0.0005416204,0.7008514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1429982,"threshold_uncertainty_score":0.4783767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09980493916450464,"score_gpt":0.2892034181460209,"score_spread":0.1893984789815162,"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."}}