{"id":"W4379882661","doi":"10.22541/au.168620691.16061325/v1","title":"Canola meal valorization via hydrolysis for amino acid generation","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Canola; Meal; Chemistry; Ethanol; Hydrolysis; Food science; Chromatography; Biochemistry","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":[0.0001753871,0.0006336633,0.0003082922,0.0003130289,0.0001255439,0.0003743584,0.0002995432,0.0003997684,0.0009515256],"category_scores_gemma":[0.000156028,0.0002016032,0.0004193662,0.0002608529,0.0001273516,0.0004198136,0.0002891802,0.0006730969,0.0005584323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001824583,"about_ca_system_score_gemma":0.0001825902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005372195,"about_ca_topic_score_gemma":0.001493238,"domain_scores_codex":[0.999848,0.00002081958,0.000009128595,0.00003673495,0.00005065513,0.0000345218],"domain_scores_gemma":[0.9999388,0.00001184114,0.00001668059,0.000007613007,0.00001558004,0.000009431601],"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":[0.00005632911,0.00001723594,0.00005972671,0.0001010675,0.000008802099,0.00004078761,0.00001143629,0.00004905214,0.9975405,0.00004621022,0.00001691108,0.002051895],"study_design_scores_gemma":[0.000003413984,0.00007407027,0.0003310478,0.000004980837,0.00001160297,0.0000581362,0.0000122266,0.0002638946,0.9973645,0.000023292,0.001848272,0.0000045045],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603266,0.007302337,0.02770991,0.0002385751,0.0001109848,0.0001140746,0.0003072341,0.0001453206,0.003745059],"genre_scores_gemma":[0.9656493,0.004458967,0.02376063,0.0001554126,0.00002760195,0.00006226778,0.0005343952,0.00007293079,0.005278421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009515256,"threshold_uncertainty_score":0.003183186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03787351353349528,"score_gpt":0.2765396848738411,"score_spread":0.2386661713403458,"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."}}