{"id":"W2553203191","doi":"10.1016/j.ifset.2016.11.013","title":"Preparation of anthocyanin-loaded liposomes using an improved supercritical carbon dioxide method","year":2016,"lang":"en","type":"article","venue":"Innovative Food Science & Emerging Technologies","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Liposome; Anthocyanin; Supercritical carbon dioxide; Supercritical fluid; Dispersity; Chromatography; Chemical engineering; Zeta potential; Phospholipid; Chemistry; Particle size; Materials science; Analytical Chemistry (journal); Nanotechnology; Nanoparticle; Organic chemistry; Membrane; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002113614,0.0002941918,0.0002168658,0.0002178284,0.0001817154,0.000198459,0.0001688407,0.0002689481,0.0005919538],"category_scores_gemma":[0.0001437042,0.0001276164,0.0002715963,0.0001470116,0.0001178552,0.0003117976,0.0002582688,0.0004548589,0.000328197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002461225,"about_ca_system_score_gemma":0.0002401787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006840475,"about_ca_topic_score_gemma":0.001037179,"domain_scores_codex":[0.999908,0.00001178296,0.00001215574,0.00002259321,0.00002856793,0.00001686756],"domain_scores_gemma":[0.9999472,0.000009330664,0.00001123328,0.00000897525,0.00001613845,0.000007162137],"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":[0.00002922112,0.000008883985,0.00005108745,0.00002381985,0.000003591883,0.00001580441,0.00001002405,0.00008195204,0.998298,0.000106893,0.00003481856,0.001335861],"study_design_scores_gemma":[0.000008071332,0.00002968642,0.0002584449,0.00000138403,0.000005830091,0.0000229554,0.000003394276,0.0007457071,0.9978052,0.00002453956,0.00109098,0.000003835333],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466068,0.001596677,0.04763424,0.0002370914,0.00009918848,0.0002871814,0.0007163815,0.0002830423,0.00253933],"genre_scores_gemma":[0.9639671,0.0008456105,0.03053893,0.00008036284,0.00002052596,0.0001601592,0.0005830841,0.00006719993,0.003737014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006840475,"threshold_uncertainty_score":0.001980305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911303919089831,"score_gpt":0.3308215612515544,"score_spread":0.3017085220606561,"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."}}