{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003379153,0.0001766192,0.0001352756,0.000112978,0.00002032809,0.00001614759,0.00005937298,0.0002708918,0.0002553922],"category_scores_gemma":[0.00001284232,0.0001757472,0.00004840239,0.0000362692,0.00007206877,7.773177e-7,0.00003314637,0.000058654,0.00001420772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213174,"about_ca_system_score_gemma":0.00008063577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006859051,"about_ca_topic_score_gemma":0.0004346755,"domain_scores_codex":[0.9992994,0.00002156088,0.0001115605,0.0003527926,0.00006632496,0.0001483262],"domain_scores_gemma":[0.9996574,0.000002245569,0.000053106,0.0001823532,0.00002286623,0.0000820265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003642426,0.0006317637,0.003266695,0.0001572571,0.0001315329,0.00001189105,0.00002180789,0.000006046484,0.0457548,0.0007230993,0.9445318,0.004399058],"study_design_scores_gemma":[0.00185348,0.0003177045,0.007641498,0.00007493137,0.00003308464,0.000009572924,0.00007070839,0.000004131593,0.01558451,0.001422548,0.9724196,0.0005682569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02898286,0.02306391,0.001626881,0.0002454559,0.0002586564,0.001704441,0.0004524626,0.00007941065,0.9435859],"genre_scores_gemma":[0.0483832,0.009128556,0.004677803,0.0008258466,0.002054434,0.0001071461,0.001433733,0.000319626,0.9330696],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03017029,"threshold_uncertainty_score":0.7166762,"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."}}