{"id":"W3006100573","doi":"10.1016/j.foodhyd.2020.105716","title":"Effect of carrier oil on α-tocopherol encapsulation in ora-pro-nobis (Pereskia aculeata Miller) mucilage-whey protein isolate microparticles","year":2020,"lang":"en","type":"article","venue":"Food Hydrocolloids","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Universidade Federal de Lavras; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Canada Research Chairs; University of Guelph","keywords":"Whey protein isolate; Chemistry; Emulsion; Mucilage; Whey protein; Chromatography; Canola; Food science; Tocopherol; Food chemistry; Botany; Biochemistry; Antioxidant; Vitamin E","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":[0.0002973323,0.0002631002,0.0003765291,0.000029601,0.0001340845,0.00005836571,0.0003083796,0.000156615,0.00043827],"category_scores_gemma":[0.0001944311,0.0001202049,0.00012124,0.0007185945,0.00005977408,0.0001529131,0.0000828231,0.0001830707,0.00006351356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003337396,"about_ca_system_score_gemma":0.00002382166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001126079,"about_ca_topic_score_gemma":0.0001785283,"domain_scores_codex":[0.9982168,0.0002288867,0.0004446867,0.0004832186,0.0002887299,0.0003376667],"domain_scores_gemma":[0.999428,0.0000956399,0.000159223,0.00009947293,0.00005863396,0.0001589666],"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":[0.00038975,0.00007110349,0.002315591,0.0001225062,0.00001538891,0.000002937643,0.0004743109,0.0002099036,0.9805105,0.00003307121,0.0001456482,0.01570932],"study_design_scores_gemma":[0.001275077,0.00449723,0.005196682,0.0001292079,0.00001949732,0.00000190458,0.0001330496,0.001541737,0.9793109,0.00006295423,0.007483713,0.000348105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968452,0.0001369734,0.000002829241,0.001053489,0.0000326915,0.0008814913,0.00007327018,0.00008593389,0.0008881458],"genre_scores_gemma":[0.9989905,0.000009641234,0.00004331629,0.0003031635,0.0001126457,0.0001989569,0.00003904418,0.000004407927,0.0002982868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01536121,"threshold_uncertainty_score":0.4901812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01865375615990142,"score_gpt":0.2295884238634605,"score_spread":0.2109346677035591,"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."}}