{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002250391,0.00006704012,0.000090014,0.0001067908,0.000183692,0.00002072284,0.00009258795,0.00003042892,0.0005581239],"category_scores_gemma":[0.00004814904,0.00006044055,0.00004822946,0.0005073329,0.0002525014,0.0001879066,0.00003553089,0.00009713227,0.0000938251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003967028,"about_ca_system_score_gemma":0.0001219501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000095982,"about_ca_topic_score_gemma":0.000007667618,"domain_scores_codex":[0.9990627,0.000005823653,0.0001264724,0.0002423773,0.0003539396,0.0002086927],"domain_scores_gemma":[0.9994375,0.00001021379,0.00002789178,0.0001802952,0.0001927237,0.0001513597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001363495,0.006869362,0.07342933,0.0006987922,0.0003641825,0.0000806419,0.002824019,0.000001996275,0.6555023,0.1596544,0.00581275,0.09339874],"study_design_scores_gemma":[0.007374784,0.005929071,0.727277,0.0005779619,0.0003758159,0.0007842678,0.0007187075,0.0006943671,0.2188665,0.009217164,0.02748334,0.0007011209],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315505,0.002557802,0.003644389,0.001180941,0.0008116631,0.0005234203,0.00001086794,0.0002354549,0.05948494],"genre_scores_gemma":[0.9933606,0.00002292371,0.006071585,0.0003407734,0.00008728368,0.00002203048,0.000003266591,0.000005297027,0.00008621544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6538476,"threshold_uncertainty_score":0.6111065,"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."}}