{"id":"W3096231256","doi":"10.1080/10942912.2020.1828458","title":"A tailored nanostructure design to protect camel casein-curcumin complex against the upper gastrointestinal tract hydrolysis using aggregated whey proteins in order to increase its antioxidant activity","year":2020,"lang":"en","type":"article","venue":"International Journal of Food Properties","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"University of Tehran","keywords":"Curcumin; Casein; Whey protein; Chemistry; Whey protein isolate; Hydrolysis; Digestion (alchemy); Pepsin; Food science; Antioxidant; Beta-lactoglobulin; Gastrointestinal tract; Denaturation (fissile materials); Biochemistry; Chromatography; Enzyme; Nuclear chemistry","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":[0.0001406608,0.0002982103,0.0002190486,0.0001804413,0.0001303044,0.000231028,0.000260278,0.0005096085,0.0004460736],"category_scores_gemma":[0.0001757089,0.000154413,0.0003232059,0.00008508566,0.0001307966,0.0002968156,0.0001506325,0.0002762219,0.0001714491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002836694,"about_ca_system_score_gemma":0.0001297348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003374199,"about_ca_topic_score_gemma":0.0005440672,"domain_scores_codex":[0.9999067,0.000009026026,0.000008251415,0.0000331115,0.00002378223,0.00001917056],"domain_scores_gemma":[0.9999356,0.000006738055,0.00002123676,0.000003966557,0.00002152007,0.0000108442],"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":[0.00002322649,0.00001268846,0.0000468165,0.00006285469,0.000004794658,0.0000343156,0.000008973025,0.00006230997,0.9987312,0.00004668333,0.00003263964,0.00093348],"study_design_scores_gemma":[0.00001643865,0.0003168235,0.0009569638,0.000007399636,0.00002527356,0.0002007276,0.00001362205,0.001171265,0.9940228,0.00002708818,0.003232115,0.000009529206],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782792,0.002845278,0.01634806,0.0002258261,0.0001073041,0.000115532,0.0002231128,0.0001336106,0.001722113],"genre_scores_gemma":[0.9821287,0.0009586478,0.01452231,0.0001769705,0.00002087788,0.0001086307,0.0002013979,0.00002461659,0.00185782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005096085,"threshold_uncertainty_score":0.002058208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09007526275434677,"score_gpt":0.2567945354078991,"score_spread":0.1667192726535524,"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."}}