{"id":"W1969641539","doi":"10.1016/j.ijpharm.2011.12.016","title":"Preparation of vitamin E loaded nanocapsules by the nanoprecipitation method: From laboratory scale to large scale using a membrane contactor","year":2011,"lang":"en","type":"article","venue":"International Journal of Pharmaceutics","topic":"Lipid Membrane Structure and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":149,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agence Universitaire de la Francophonie","keywords":"Nanocapsules; Zeta potential; Contactor; Chromatography; Membrane; Materials science; Vitamin E; Chemistry; SCALE-UP; Antioxidant; Nanotechnology; Nanoparticle; Organic chemistry; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000311852,0.0003719759,0.0006343981,0.000310636,0.0003452205,0.0003235645,0.0003906461,0.000606959,0.000649329],"category_scores_gemma":[0.0004040658,0.0002560687,0.0004935064,0.0001704148,0.0002969401,0.0004226326,0.0004566977,0.0005835927,0.0004917919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000317238,"about_ca_system_score_gemma":0.0002697182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003773141,"about_ca_topic_score_gemma":0.0007787042,"domain_scores_codex":[0.9997436,0.00002601096,0.00003854354,0.00009891605,0.0000609357,0.00003205551],"domain_scores_gemma":[0.9997396,0.00009302312,0.00004305143,0.00005914747,0.00004107804,0.00002411146],"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":[0.00002396797,0.00000982033,0.00003426704,0.00002804109,0.000003737889,0.00002434462,0.00001487937,0.00005592801,0.9986655,0.00004163529,0.00001555815,0.001082393],"study_design_scores_gemma":[0.000002753768,0.0000265026,0.00007815546,9.951633e-7,0.000004050128,0.00002205826,0.000002558909,0.0002124702,0.9993283,0.00001521037,0.0003047184,0.000002386278],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8898492,0.001976661,0.1044719,0.000221102,0.000117253,0.0003577177,0.0004902284,0.0006214355,0.00189447],"genre_scores_gemma":[0.8901833,0.001066684,0.1034111,0.00009788691,0.00002316329,0.000400263,0.0003329759,0.0001467665,0.00433786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000649329,"threshold_uncertainty_score":0.002301693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919887004061283,"score_gpt":0.3723261807570775,"score_spread":0.3431273107164646,"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."}}