{"id":"W4396221807","doi":"10.3390/foods13091357","title":"Canola Seed Protein: Pretreatment, Extraction, Structure, Physicochemical and Functional Characteristics","year":2024,"lang":"en","type":"article","venue":"Foods","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; National Natural Science Foundation of China; Natural Science Foundation of Hebei Province; Canola Council of Canada","keywords":"Canola; Rapeseed; Extraction (chemistry); Protein purification; Biotechnology; Biology; Food science; Chemistry; Chromatography; Biochemistry","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":[0.0003464519,0.0005988374,0.0003454911,0.001043002,0.0002090134,0.000447408,0.0002079222,0.0004517591,0.0007512498],"category_scores_gemma":[0.0003664927,0.0001749204,0.000314596,0.00100206,0.00020557,0.0005728905,0.0002269349,0.0005918863,0.0005859201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915662,"about_ca_system_score_gemma":0.0004697196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001264236,"about_ca_topic_score_gemma":0.002196182,"domain_scores_codex":[0.9998001,0.00002884756,0.00002097666,0.00004183971,0.00008775111,0.00002051864],"domain_scores_gemma":[0.9999244,0.00002564508,0.00001955326,0.000003991805,0.00002099608,0.000005359832],"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":[0.0001818609,0.000100236,0.001314189,0.01144414,0.00009807938,0.0007565047,0.000234432,0.0007010679,0.7249482,0.002371512,0.002133892,0.2557159],"study_design_scores_gemma":[0.00001099035,0.0005955925,0.01522653,0.0009920732,0.0002411834,0.003442715,0.000238108,0.000761877,0.5173062,0.00139456,0.4597024,0.0000878262],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1267733,0.8338407,0.02171455,0.001463582,0.0004146011,0.000264286,0.001054855,0.000120858,0.01435323],"genre_scores_gemma":[0.2002459,0.7603893,0.02336303,0.0007786942,0.0004344732,0.0002550053,0.002112979,0.00006866374,0.01235194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001264236,"threshold_uncertainty_score":0.002513707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008471698213547513,"score_gpt":0.2423529237040039,"score_spread":0.2338812254904564,"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."}}