{"id":"W2890584367","doi":"10.1021/acs.molpharmaceut.8b00529","title":"Microfluidic Processing Approach to Controlling Drug Delivery Properties of Curcumin-Loaded Block Copolymer Nanoparticles","year":2018,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copolymer; Curcumin; Microfluidics; Nanoparticle; Drug delivery; Nanotechnology; Chemistry; Drug carrier; Drug; Materials science; Pharmacology; Polymer; Organic chemistry; Biochemistry; Medicine","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":[0.0001973611,0.0004586864,0.0001421204,0.0001695195,0.0001510381,0.0001778024,0.0001818169,0.0001995262,0.001498074],"category_scores_gemma":[0.0002244724,0.0001635993,0.0001463177,0.00008763142,0.0001502261,0.0001956646,0.0001116117,0.0003234485,0.0002695945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004479083,"about_ca_system_score_gemma":0.0003863725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005021639,"about_ca_topic_score_gemma":0.001055822,"domain_scores_codex":[0.9999164,0.000008214123,0.00000716506,0.0000279955,0.00002415748,0.00001605464],"domain_scores_gemma":[0.9999304,0.00002330943,0.00002028991,0.000004324102,0.00001393825,0.000007726696],"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":[0.00002841283,0.00001154517,0.00002664222,0.00002611964,0.000001964891,0.000009255982,0.00000808496,0.00007667112,0.9985535,0.0001111365,0.00004695504,0.0010997],"study_design_scores_gemma":[0.000008215103,0.00008181331,0.0002812076,0.000002150519,0.000007184636,0.00002152227,0.000004211728,0.001060053,0.997483,0.00001960627,0.001027397,0.000003840381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9424823,0.00288739,0.04856226,0.0003516487,0.0003803002,0.0001768412,0.0004731895,0.0005177397,0.004168366],"genre_scores_gemma":[0.9698523,0.001168819,0.02472752,0.00008896824,0.00004160134,0.0001972658,0.000177205,0.00003088832,0.003715542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001498074,"threshold_uncertainty_score":0.005011559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02526434643901124,"score_gpt":0.2839455157230446,"score_spread":0.2586811692840333,"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."}}