{"id":"W1969310383","doi":"10.1016/j.biortech.2009.03.090","title":"Production of angiotensin I-converting enzyme inhibitory peptides from defatted canola meal","year":2009,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Canola; Hydrolysate; Chemistry; Enzyme; Proteolysis; Biochemistry; Protease; Hydrolysis; Peptide; Angiotensin-converting enzyme; IC50; Rice protein; Food science; Proteases; In vitro; Biology; Endocrinology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001435877,0.0002037892,0.0002629034,0.0002070045,0.00008190139,0.000008450692,0.0002538712,0.0004273757,0.000008090569],"category_scores_gemma":[0.0002361315,0.0001889348,0.0001174631,0.0002952846,0.0002907116,0.000004989637,0.0001070413,0.0001554042,0.000007009789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002546778,"about_ca_system_score_gemma":0.00004205678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001290378,"about_ca_topic_score_gemma":0.0000532279,"domain_scores_codex":[0.9986819,0.00004827644,0.0003213919,0.000518431,0.0001369877,0.0002930251],"domain_scores_gemma":[0.99907,0.000007270122,0.0002262333,0.0005113793,0.0001378129,0.00004730147],"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":[0.00008538691,0.00007855554,0.007347228,0.000003461122,0.00005588774,0.00000311482,0.00003392588,0.00001035389,0.9764735,0.00004307614,0.0009850791,0.01488051],"study_design_scores_gemma":[0.0002748519,0.0003661153,0.01052887,0.00003367639,0.00003096987,0.00001453969,0.000123171,0.00002614722,0.9805049,0.0003320657,0.007557432,0.0002072933],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995716,0.002046606,0.000164521,0.001543926,0.00008465461,0.0002011068,0.0000128658,0.0000929535,0.0001373349],"genre_scores_gemma":[0.9976724,0.0000479748,0.001571442,0.0001785293,0.0003175178,0.0000103952,0.00005749589,0.00001765966,0.0001265272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467321,"threshold_uncertainty_score":0.7704538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007261603031410944,"score_gpt":0.2168090922510078,"score_spread":0.2095474892195968,"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."}}