{"id":"W4394765614","doi":"10.1111/ijfs.17134","title":"Incorporation of brewer's spent grain into plant‐based meat analogues: benefits to physical and nutritional quality","year":2024,"lang":"en","type":"article","venue":"International Journal of Food Science & Technology","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Chewiness; Food science; Moisture; Chemistry; Extrusion; Pea protein; Mouthfeel; Soy protein; Whole grains; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001588727,0.0003574016,0.0003022651,0.0002768533,0.0001507129,0.0004237341,0.0001771572,0.0002368958,0.001917111],"category_scores_gemma":[0.0001543777,0.0001325218,0.0003182513,0.0002611609,0.0001560469,0.000233225,0.0002891498,0.0004591645,0.0002332655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294308,"about_ca_system_score_gemma":0.0001118027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009882654,"about_ca_topic_score_gemma":0.002447974,"domain_scores_codex":[0.9998723,0.00002305536,0.000009116115,0.00002739532,0.00003696441,0.00003120306],"domain_scores_gemma":[0.9998783,0.00002035021,0.0000382637,0.000008061226,0.00002381232,0.00003117945],"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":[0.0004099549,0.00006827815,0.0006186953,0.000164286,0.00002345875,0.00005692998,0.00002890078,0.000071946,0.9952202,0.00003974941,0.00002960282,0.00326797],"study_design_scores_gemma":[0.00001803702,0.002428416,0.02804747,0.00006676151,0.0001137117,0.0001581191,0.0001195743,0.0004769497,0.9623769,0.00004545928,0.006129283,0.00001941543],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970987,0.001440053,0.000599636,0.00002512223,0.00001511274,0.00001202488,0.0001323897,0.00001657908,0.0006604283],"genre_scores_gemma":[0.9945722,0.0007544052,0.001773363,0.00004044671,0.000004814192,0.0000120972,0.000351808,0.00002266022,0.002468076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001917111,"threshold_uncertainty_score":0.0064134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04777636642918291,"score_gpt":0.3131725499313318,"score_spread":0.2653961835021489,"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."}}