{"id":"W4406160085","doi":"10.1016/j.foodres.2025.115714","title":"Molecular characteristics of glycolipids determine oil–water interfacial behavior and in vitro lipid digestion kinetics","year":2025,"lang":"en","type":"article","venue":"Food Research International","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Quebec Population Health Research Network","funders":"KU Leuven; Agentschap Innoveren en Ondernemen","keywords":"Glycolipid; Kinetics; Chemistry; Lipid digestion; Digestion (alchemy); In vitro; Chromatography; Food science; Chemical engineering; Biochemistry; Enzyme; Lipase","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":[0.0002447036,0.0003819568,0.0001317182,0.0002628426,0.0001248826,0.0003375594,0.0001265419,0.0002385121,0.001104491],"category_scores_gemma":[0.0004940378,0.0002129156,0.0002210888,0.0002785011,0.0002464362,0.0004914405,0.0001604187,0.0004740133,0.0002951642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002642711,"about_ca_system_score_gemma":0.0001229675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001204641,"about_ca_topic_score_gemma":0.001043987,"domain_scores_codex":[0.9998697,0.00002526398,0.00001103293,0.0000260131,0.00002536848,0.00004249173],"domain_scores_gemma":[0.999723,0.0001207359,0.00005798762,0.00001132619,0.0000442969,0.00004248113],"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":[0.0001631401,0.00001702267,0.0006679953,0.0000108214,0.000004477101,0.000008980976,0.0000190198,0.00007139682,0.9986118,0.00002270589,0.000005044899,0.0003975843],"study_design_scores_gemma":[0.000003826528,0.00007353396,0.003798296,0.000001926258,0.000009175056,0.00001200271,0.00002238599,0.0006736144,0.9952809,0.00001293033,0.0001090544,0.000002365157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975947,0.0002807898,0.001482838,0.00001582045,0.000005081672,0.00001301145,0.0001153712,0.000008255789,0.0004841062],"genre_scores_gemma":[0.9979281,0.0002083982,0.0009376526,0.00001550868,0.000002154012,0.00001318003,0.0002487822,0.00001220301,0.0006338917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001204641,"threshold_uncertainty_score":0.003694952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04449656761221451,"score_gpt":0.3200482721253265,"score_spread":0.2755517045131121,"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."}}