{"id":"W3018810541","doi":"10.1039/d0fo00317d","title":"Analysis of kinetic parameters and mechanisms of nanocrystalline cellulose inhibition of α-amylase and α-glucosidase in simulated digestion of starch","year":2020,"lang":"en","type":"article","venue":"Food & Function","topic":"Food composition and properties","field":"Nursing","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; National Natural Science Foundation of China","keywords":"Starch; Amylase; Chemistry; Nanocrystalline material; Cellulose; Digestion (alchemy); Food science; Potato starch; Hydrolysis; Polysaccharide; Particle size; In vitro; Biochemistry; Enzyme; Chromatography; Crystallography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244146,0.00009522268,0.0003248209,0.0003430357,0.00001417277,0.000004970915,0.00002350997,0.00006649228,0.00001925105],"category_scores_gemma":[0.00004914259,0.00009200648,0.00006003212,0.0006829411,0.00007145366,0.00009099081,0.00002129305,0.00006714811,1.394882e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001341722,"about_ca_system_score_gemma":0.00000734284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002018241,"about_ca_topic_score_gemma":0.00004190645,"domain_scores_codex":[0.9990162,0.0001207583,0.0004490695,0.0001688706,0.0001665472,0.00007851257],"domain_scores_gemma":[0.9994286,0.00007536558,0.0002448102,0.00009251786,0.0001158357,0.00004284564],"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":[0.02689001,0.0001653648,0.001281097,0.0004064142,0.0001794166,5.370907e-7,0.001229994,0.01603272,0.9511333,0.0001151,8.341588e-7,0.00256518],"study_design_scores_gemma":[0.001455613,0.04696452,0.01032032,0.0001672877,0.0007146936,5.703159e-7,0.0003714723,0.07303941,0.8662618,0.0005915,0.000004702263,0.0001081301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970781,0.0002143417,0.002250755,0.0001555403,0.00004054006,0.0001917709,0.00004562395,0.00001246267,0.00001087956],"genre_scores_gemma":[0.9995902,0.00001229505,0.0002573822,0.00003499631,0.000004210166,0.000002144939,0.00008987384,0.000008275165,5.95569e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08487155,"threshold_uncertainty_score":0.3751915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02120788251494968,"score_gpt":0.2196436767253581,"score_spread":0.1984357942104085,"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."}}