{"id":"W4323046099","doi":"10.3390/foods12051061","title":"Peptidomics Study of Plant-Based Meat Analogs as a Source of Bioactive Peptides","year":2023,"lang":"en","type":"article","venue":"Foods","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Hydrolysate; Food science; Digestion (alchemy); Peptide; Amino acid; Chemistry; Biochemistry; Rice protein; Antioxidant; Essential amino acid; Complete protein; Biology; Biotechnology; Chromatography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002348704,0.0001702227,0.000295518,0.0001432402,0.00005185755,0.000008221901,0.0002312729,0.0001215052,0.00001129182],"category_scores_gemma":[0.0001079007,0.0001477302,0.0001584296,0.0003159217,0.0001268327,0.0000035483,0.0001257261,0.00007543003,0.000009359645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008166809,"about_ca_system_score_gemma":0.00006836523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003950397,"about_ca_topic_score_gemma":0.0001997909,"domain_scores_codex":[0.9988508,0.0001045521,0.0002882272,0.0003318117,0.0002133783,0.0002112664],"domain_scores_gemma":[0.9992009,0.00003742429,0.0002079899,0.0003823328,0.0001119762,0.0000593189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005696923,0.0005409002,0.02276044,0.00004217539,0.0003650289,0.000004130138,0.0003230354,0.0007581587,0.9730678,0.00003288714,0.0003984878,0.001137246],"study_design_scores_gemma":[0.001308914,0.003425242,0.01137847,0.00002741447,0.00007563501,0.000002774973,0.002081627,0.0004690754,0.9794878,0.0000488406,0.001489915,0.0002042891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986382,0.00009487942,0.0002135883,0.00003165862,0.00003778141,0.0003484185,0.00008202325,0.00001984861,0.000533636],"genre_scores_gemma":[0.9992076,0.00002849999,0.0001709273,0.00003381154,0.00006488455,0.0000331872,0.0001388831,0.00002178345,0.0003004941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01138197,"threshold_uncertainty_score":0.6024261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659465145464628,"score_gpt":0.2665137665221003,"score_spread":0.2499191150674541,"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."}}