{"id":"W1608489270","doi":"10.1002/9780813807263.ch10","title":"Functional Bioactive Proteins and Peptides in Nutrigenomics","year":2009,"lang":"en","type":"other","venue":"","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Nutrigenomics; Computational biology; Chemistry; Biochemistry; Biology; Gene","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":[0.0004709029,0.0008950615,0.0006671209,0.0008572719,0.0003533855,0.001340751,0.0006727746,0.0009393265,0.01853743],"category_scores_gemma":[0.0002009639,0.0003096939,0.0003669104,0.001300473,0.000464477,0.001701534,0.00070327,0.001336867,0.01392437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007894179,"about_ca_system_score_gemma":0.0005010955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005588726,"about_ca_topic_score_gemma":0.0007905169,"domain_scores_codex":[0.9998657,0.00001466023,0.000009080964,0.00003545221,0.00005949008,0.00001573293],"domain_scores_gemma":[0.9999211,0.00002180516,0.000008394172,0.000007215246,0.00002771458,0.00001372141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003725339,0.0001700637,0.0002493189,0.004237106,0.0000207928,0.000477913,0.0001531367,0.0008344566,0.2578086,0.05194603,0.0849501,0.5987799],"study_design_scores_gemma":[0.00001030707,0.00006233664,0.0004467686,0.0003003904,0.00001213677,0.0003249593,0.0000383271,0.0001860815,0.05344486,0.006247749,0.93891,0.00001606487],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01233162,0.5959048,0.07108356,0.009913572,0.009795198,0.0002906744,0.003634607,0.00109388,0.2959521],"genre_scores_gemma":[0.02342184,0.5712911,0.0636765,0.003846046,0.003302049,0.0002274252,0.004515691,0.0004966239,0.3292228],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01853743,"threshold_uncertainty_score":0.06201386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007144050828239893,"score_gpt":0.214219821270218,"score_spread":0.2070757704419781,"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."}}