{"id":"W2492773829","doi":"10.1002/cjce.22596","title":"Influence of emulsification methods and use of colloidal silicon dioxide on the microencapsulation by spray drying of turmeric oleoresin in gelatin‐starch matrices","year":2016,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Homogenizer; Gelatin; Emulsion; Rheology; Chemical engineering; Materials science; Colloid; Modified starch; Spray drying; Homogenization (climate); Starch; Silicon dioxide; Chromatography; Oleoresin; Chemistry; Composite material; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004307909,0.00006957127,0.0001502935,0.0000435246,0.00002717124,0.00001291415,0.0001611607,0.00004503102,0.00001139527],"category_scores_gemma":[0.0007369883,0.00002372418,0.00003399847,0.0002862212,0.00009403453,0.0001102312,0.000009779449,0.00009691373,1.107407e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003460225,"about_ca_system_score_gemma":0.00003112408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001194802,"about_ca_topic_score_gemma":0.0001575397,"domain_scores_codex":[0.9992914,0.00005454871,0.0003646689,0.00006726389,0.0001100673,0.0001120854],"domain_scores_gemma":[0.9986194,0.0008831455,0.0002721886,0.000042153,0.0001144659,0.00006866757],"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":[0.00001666166,0.000004890053,0.004412958,0.00001559119,0.00000557946,1.832192e-7,0.0001492124,0.0015944,0.9912035,0.0001169539,0.000008112042,0.002471989],"study_design_scores_gemma":[0.000083399,0.00004074641,0.04891738,0.0001801693,0.000006921912,0.000004452506,0.00002533872,0.0002080725,0.9502509,0.00007869833,0.0001562579,0.00004767013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986131,0.0002991603,0.0000442405,0.0009501769,0.0000112801,0.00006470083,0.000012463,0.000001739792,0.000003161922],"genre_scores_gemma":[0.999505,0.00002129111,0.000430935,0.00002117979,0.00001415185,9.221264e-7,8.484378e-7,0.000001138666,0.000004519235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04450442,"threshold_uncertainty_score":0.1806191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605934846288134,"score_gpt":0.2299158362061164,"score_spread":0.213856487743235,"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."}}