{"id":"W2765898479","doi":"10.1016/j.foodchem.2017.10.087","title":"Immunomodulatory and anticancer protein hydrolysates (peptides) from food proteins: A review","year":2017,"lang":"en","type":"review","venue":"Food Chemistry","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":577,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Livestock and Meat Agency; Egg Farmers of Canada","keywords":"Hydrolysate; Biochemistry; Food protein; Amino acid; Chemistry; Protease; Biology; Functional food; Enzyme; Food science; Hydrolysis","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003506022,0.001001306,0.002140196,0.00003575481,0.0002533577,0.0001496341,0.00104182,0.0009076692,0.00007866901],"category_scores_gemma":[0.000324421,0.0008391523,0.0008496895,0.00008966748,0.0003710899,0.00001502153,0.0007358559,0.0006003156,0.00002343807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006439033,"about_ca_system_score_gemma":0.0004361235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002313895,"about_ca_topic_score_gemma":0.00001181706,"domain_scores_codex":[0.9966571,0.0001275451,0.0008619985,0.001465161,0.0003314055,0.000556767],"domain_scores_gemma":[0.9963937,0.00002113704,0.001137615,0.00210628,0.0001161982,0.0002250224],"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":[0.00003994985,0.000181599,0.000006994978,0.07882985,0.003540956,0.00001421251,0.0000078929,5.642528e-8,0.2083521,0.000005358811,0.0007516921,0.7082694],"study_design_scores_gemma":[0.0002726761,0.0003101974,0.000001606783,0.04351797,0.0009354681,0.00004161174,0.00000286779,5.509075e-7,0.1260805,0.00006109915,0.8278593,0.0009161367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00437131,0.9917662,0.000007186694,0.00004320938,0.00004954196,0.002174511,0.0007844494,0.00004173903,0.0007618206],"genre_scores_gemma":[0.006942709,0.9881211,0.0002747464,0.00007891822,0.000824308,0.001726189,0.001145566,0.0001466821,0.000739818],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8271077,"threshold_uncertainty_score":0.9994059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04271807585939068,"score_gpt":0.3084096376714622,"score_spread":0.2656915618120715,"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."}}