{"id":"W7144264543","doi":"10.71465/ajbt419","title":"Biotechnology in the Production of Functional Foods and Nutraceuticals","year":2022,"lang":"","type":"article","venue":"American Journal of Biotechnology","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Nutraceutical; Functional food; Production (economics); Health benefits; Human health; Fermentation; Food processing","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":[0.001548047,0.0005104493,0.0003421478,0.0007298531,0.0003889587,0.001571109,0.0004344706,0.001877366,0.001042506],"category_scores_gemma":[0.0008316368,0.0003063777,0.0003359476,0.0007465898,0.001703447,0.002375139,0.0008366279,0.001665496,0.0008794441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110647,"about_ca_system_score_gemma":0.0008686007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003382158,"about_ca_topic_score_gemma":0.0002710706,"domain_scores_codex":[0.9993972,0.0002109872,0.00003704288,0.00009832302,0.0002011897,0.00005525261],"domain_scores_gemma":[0.9996632,0.0001573048,0.00007035414,0.00002993271,0.00004645124,0.00003276405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002264554,0.0003295991,0.001352711,0.002181932,0.00004203054,0.0009511014,0.0004104984,0.005530905,0.342653,0.4350069,0.006457541,0.2048574],"study_design_scores_gemma":[0.00006104857,0.0007779604,0.002028379,0.001009245,0.00006640577,0.001982023,0.0004439691,0.005712766,0.2060687,0.2314588,0.5502907,0.00009999878],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.09971476,0.6347315,0.1229441,0.0455552,0.004331728,0.0001131104,0.0002030755,0.000520164,0.09188635],"genre_scores_gemma":[0.4212424,0.4779413,0.07823592,0.004609465,0.00199855,0.000134638,0.0001747436,0.0001004459,0.0155626],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001877366,"threshold_uncertainty_score":0.008186996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00934925407742509,"score_gpt":0.2434609201869371,"score_spread":0.234111666109512,"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."}}