{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003966563,0.0001477412,0.0001049585,0.00002759931,0.00006455184,0.00007113256,0.00004297326,0.0001169244,0.00004596155],"category_scores_gemma":[0.00002212723,0.0001217908,0.0000608165,0.00006675752,0.00006731585,0.000007606602,0.00005048402,0.00009969579,0.000005938834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000198817,"about_ca_system_score_gemma":0.00005138595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001324283,"about_ca_topic_score_gemma":0.000006905354,"domain_scores_codex":[0.99927,0.00002071743,0.0001162321,0.0003466111,0.00009961071,0.0001468039],"domain_scores_gemma":[0.9997107,0.000006227489,0.00003305107,0.0001484549,0.00004085108,0.00006070117],"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":[0.00005841655,0.00003166989,0.001175724,0.00003693216,0.0001389871,0.000003562904,0.000009634829,8.985253e-7,0.9943936,0.0001731431,0.0003550291,0.00362233],"study_design_scores_gemma":[0.0001764355,0.0002266276,0.01981178,0.00003055837,0.00004232789,0.00004322112,0.000007399394,0.0002054632,0.9531589,0.0003632446,0.02575097,0.0001831133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968524,0.001279533,0.0009024523,0.0001141689,0.0001387456,0.0001998623,0.0001351601,0.00002987709,0.0003478054],"genre_scores_gemma":[0.9974419,0.00004634615,0.0005122249,0.00004924796,0.0005249949,0.00004735999,0.0003282562,0.0000188399,0.001030868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04123481,"threshold_uncertainty_score":0.4966485,"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."}}