{"id":"W4399619096","doi":"10.1016/j.fochx.2024.101550","title":"Tailoring soy protein/corn zein mixture by limited enzymatic hydrolysis to improve digestibility and functionality","year":2024,"lang":"en","type":"article","venue":"Food Chemistry X","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Government of Canada; Agriculture and Agri-Food Canada","funders":"Centre Scientifique et Technique du Bâtiment; Southwest University; Natural Science Foundation of Chongqing; National Natural Science Foundation of China","keywords":"Soy protein; Enzymatic hydrolysis; Food science; Hydrolysis; Protein digestibility; Chemistry; Enzyme; Biotechnology; Agronomy; Biochemistry; Biology","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":[0.0003226224,0.0002218333,0.000221063,0.000005894528,0.0001491606,0.0001890631,0.0002301861,0.0001834474,0.0002006741],"category_scores_gemma":[0.0001812189,0.00009893239,0.00009128849,0.0003200017,0.00005045988,0.0001092915,0.0001553529,0.0002413048,0.00003913144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000078142,"about_ca_system_score_gemma":0.00001306787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007208898,"about_ca_topic_score_gemma":0.00002006103,"domain_scores_codex":[0.9984061,0.0000420165,0.000289945,0.0006667561,0.0002914109,0.0003037752],"domain_scores_gemma":[0.9994383,0.00009907593,0.00005596993,0.0001582241,0.00005066025,0.000197781],"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":[0.00002557069,0.00004154856,0.0002002057,0.0002507113,0.00004417714,0.00000223979,0.00003947589,8.044332e-7,0.9909399,0.00001149087,0.0005794041,0.007864486],"study_design_scores_gemma":[0.00008271778,0.0003947615,0.000820382,0.0001527143,0.00002605239,0.0000123556,0.0001051854,0.0001651685,0.9772722,0.0006522707,0.01997872,0.0003375318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956226,0.0008933236,0.00001390632,0.00153715,0.0001171396,0.0004945605,0.0002853267,0.0002478277,0.0007882168],"genre_scores_gemma":[0.9977535,0.000001914249,0.00004611576,0.00005054208,0.0004147176,0.0002210136,0.00008742307,0.000002653476,0.001422116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01939931,"threshold_uncertainty_score":0.4034346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152179776706062,"score_gpt":0.2076778892479276,"score_spread":0.1924599115773214,"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."}}