{"id":"W2605472482","doi":"10.5539/jfr.v6n3p40","title":"Encapsulation of Anthocyanins from Black Rice (Oryza Sativa L.) Bran Extract using Chitosan-Alginate Nanoparticles","year":2017,"lang":"en","type":"article","venue":"Journal of Food Research","topic":"Microencapsulation and Drying Processes","field":"Agricultural and Biological Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anthocyanin; Black rice; Chemistry; Chitosan; Bran; Quercetin; Nanoparticle; Flavonoid; Antioxidant; Food science; Nuclear chemistry; Materials science; Organic chemistry; Nanotechnology","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":[0.0008964721,0.00008950812,0.0002129886,0.00005351288,0.0005468247,0.0002098893,0.0005213014,0.0000777998,0.0001901262],"category_scores_gemma":[0.0007300818,0.0000373637,0.00009625965,0.0002063711,0.0002336335,0.0004928952,0.00009311677,0.0002847992,0.000005952274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002052434,"about_ca_system_score_gemma":0.00005577989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002683843,"about_ca_topic_score_gemma":0.00006429959,"domain_scores_codex":[0.9983206,0.0002086069,0.0004163153,0.0001469536,0.0006558801,0.0002516231],"domain_scores_gemma":[0.9983966,0.0003383637,0.000594634,0.0001029393,0.0004440084,0.0001233918],"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":[0.00008299218,0.00009932492,0.005997511,0.00001485167,0.00002215992,0.000005452867,0.0002848509,0.00004083375,0.9837304,0.00005318945,0.00005655057,0.009611844],"study_design_scores_gemma":[0.0002346043,0.0003968535,0.3029544,0.0001074533,0.000009321569,0.000009131983,0.0002756669,0.0003760781,0.6938448,0.001463739,0.0002595257,0.00006837225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979103,0.0003915291,0.00002487055,0.0008993306,0.00009020176,0.00008578889,0.00002025736,0.000005697298,0.0005720021],"genre_scores_gemma":[0.9991925,0.00009194455,0.0003612846,0.00001064883,0.0003095047,3.821019e-7,0.000002193597,0.000001413742,0.00003008022],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2969569,"threshold_uncertainty_score":0.4205788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1870137174487189,"score_gpt":0.3856589684652944,"score_spread":0.1986452510165755,"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."}}