{"id":"W4388138962","doi":"10.1002/cche.10729","title":"Effect of solid‐state fermentation on the protein quality and volatile profile of pea and navy bean protein isolates","year":2023,"lang":"en","type":"article","venue":"Cereal Chemistry","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; National Research Council Canada; Saskatchewan Research Council (Canada); University of Saskatchewan","funders":"National Research Council Canada; Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Alberta Pulse Growers Commission; Saskatchewan Pulse Growers","keywords":"Aspergillus oryzae; Solid-state fermentation; Fermentation; Pea protein; Food science; Chemistry; Protein quality; Protein digestibility","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":[0.000187693,0.0002727482,0.0003091864,0.0001466045,0.0001494698,0.0004412794,0.0001056746,0.0001589633,0.0009153355],"category_scores_gemma":[0.0002489416,0.00008760511,0.0003082928,0.0002218077,0.0001706831,0.0002616624,0.000240467,0.0004647541,0.0001268762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450835,"about_ca_system_score_gemma":0.0002098827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001792796,"about_ca_topic_score_gemma":0.0018913,"domain_scores_codex":[0.9998259,0.00003343629,0.0000141505,0.00003551882,0.000048104,0.00004283983],"domain_scores_gemma":[0.9998078,0.00003976861,0.00004674279,0.00001499787,0.00005207428,0.0000386957],"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":[0.0004046909,0.00004433001,0.0008324106,0.00004100654,0.000009206593,0.00002030166,0.00002502588,0.00003410765,0.9974132,0.000008854925,0.00001155504,0.001155219],"study_design_scores_gemma":[0.000008732678,0.001530395,0.04656709,0.00001121901,0.00003168238,0.00008334008,0.0001737957,0.0004853155,0.9505075,0.00002256826,0.0005671158,0.00001118029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998781,0.0003370069,0.000390644,0.00001577798,0.000007955698,0.000008556018,0.0001871339,0.000007136838,0.0002646403],"genre_scores_gemma":[0.9981499,0.0001770566,0.000698664,0.00001682936,0.000003693734,0.000010032,0.0003229333,0.000007107287,0.000613869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001792796,"threshold_uncertainty_score":0.003564715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0251399348870389,"score_gpt":0.2778980039968869,"score_spread":0.2527580691098479,"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."}}