{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001623784,0.0003334275,0.0002559459,0.0003409381,0.0001283269,0.0002416817,0.00009819758,0.0002904894,0.0005895686],"category_scores_gemma":[0.0001643943,0.0001116527,0.0002973662,0.0003286833,0.0001190547,0.0002681498,0.0001521416,0.0003871003,0.0001657797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001117948,"about_ca_system_score_gemma":0.000131757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003982034,"about_ca_topic_score_gemma":0.0005444574,"domain_scores_codex":[0.9999247,0.00001310525,0.000003346216,0.00002225693,0.00002068659,0.00001585506],"domain_scores_gemma":[0.9999182,0.00001730281,0.00002641556,0.000003483473,0.00001628411,0.00001824647],"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":[0.0001832668,0.00001874833,0.0006452088,0.00007088332,0.00001243055,0.00007945379,0.00002016407,0.00006976194,0.9972034,0.00003339722,0.00001691762,0.001646241],"study_design_scores_gemma":[0.00002683623,0.001140975,0.07734772,0.00006081182,0.000108309,0.001155675,0.0003279051,0.005436277,0.9093608,0.0002012213,0.004800174,0.00003325334],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939117,0.002368046,0.00234846,0.00004237653,0.0000151299,0.00002071085,0.0005692548,0.00001203954,0.000712369],"genre_scores_gemma":[0.989252,0.001819601,0.005860039,0.0001156207,0.00001491395,0.00003058463,0.00110103,0.00001709035,0.001789157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005895686,"threshold_uncertainty_score":0.001972318,"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."}}