{"id":"W2743532363","doi":"10.1021/acs.analchem.7b01853","title":"Microfluidic Technique for the Simultaneous Quantification of Emulsion Instabilities and Lipid Digestion Kinetics","year":2017,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Chemistry; Coalescence (physics); Lipid digestion; Lipid droplet; Emulsion; Oil droplet; Microfluidics; Digestion (alchemy); Kinetics; Chromatography; Chemical engineering; Nanotechnology; Biochemistry; Materials science","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":[0.0008142316,0.0006108776,0.000488826,0.001013098,0.0003961286,0.0003657847,0.0004057311,0.0004981183,0.0005790471],"category_scores_gemma":[0.0008838595,0.0003083866,0.0003232577,0.0004943016,0.0003547939,0.0004240507,0.0003982353,0.0008060306,0.0001968632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005962544,"about_ca_system_score_gemma":0.0006479964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006804282,"about_ca_topic_score_gemma":0.001190423,"domain_scores_codex":[0.9995592,0.00006539034,0.00004576079,0.0001266254,0.0001598434,0.00004321292],"domain_scores_gemma":[0.9996245,0.000174377,0.00008353862,0.00003650688,0.00005801388,0.00002307393],"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":[0.00002254572,0.00002168925,0.0003024742,0.00007273498,0.00001177483,0.00002011723,0.00001670768,0.0001133358,0.9915835,0.0003009392,0.0001359689,0.007398237],"study_design_scores_gemma":[0.00001220103,0.0001661251,0.002845985,0.000009769752,0.00003515643,0.0002147479,0.00001294634,0.005483971,0.9870151,0.0001882439,0.003993604,0.00002207118],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2902893,0.01086175,0.6908169,0.0005810557,0.0005851047,0.0005868166,0.001418737,0.001929944,0.002930388],"genre_scores_gemma":[0.4538035,0.00655446,0.5354539,0.0002681748,0.0001686173,0.0009923213,0.0006457278,0.00008315626,0.002030172],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001013098,"threshold_uncertainty_score":0.004326165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03446971311514255,"score_gpt":0.2688869874577284,"score_spread":0.2344172743425859,"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."}}