{"id":"W2616168161","doi":"10.1021/acs.molpharmaceut.7b00177","title":"Controlling Structure and Function of Polymeric Drug Delivery Nanoparticles Using Microfluidics","year":2017,"lang":"en","type":"article","venue":"Molecular Pharmaceutics","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Drug delivery; Nanotechnology; Nanoparticle; Drug; Chemistry; Drug carrier; Function (biology); Materials science; Pharmacology; Medicine; Biology","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":[0.0002013193,0.0003424862,0.0001352253,0.0001410452,0.0001338646,0.000245771,0.0001869992,0.0001778068,0.0002606015],"category_scores_gemma":[0.0002098269,0.0001164199,0.0001349907,0.0000679906,0.0002491831,0.0002548178,0.0001899861,0.0002403986,0.0000865754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004142182,"about_ca_system_score_gemma":0.0002446836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003073033,"about_ca_topic_score_gemma":0.0004883233,"domain_scores_codex":[0.9999177,0.000008958823,0.000007886915,0.00002788341,0.00002182645,0.0000156956],"domain_scores_gemma":[0.9998971,0.00003912398,0.00003759446,0.000007000148,0.000008849649,0.00001033554],"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":[0.00001873359,0.000009359137,0.00009179117,0.00001693725,0.000001682911,0.00001018612,0.00001060083,0.0003235014,0.9973518,0.0001980414,0.00002190314,0.001945515],"study_design_scores_gemma":[0.000007475513,0.00006700427,0.0002534275,0.000001327352,0.000003236358,0.00001882876,0.000002513831,0.003538842,0.9955022,0.0000392613,0.0005625394,0.000003370528],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9684465,0.0009770492,0.02885493,0.0001892321,0.00005047314,0.00004962248,0.0001116903,0.000261575,0.001058855],"genre_scores_gemma":[0.9791917,0.0004760823,0.01951137,0.00006327939,0.00002896108,0.00005586186,0.00006206995,0.00001820216,0.0005924891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004142182,"threshold_uncertainty_score":0.003005385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01891639983930963,"score_gpt":0.2730720404799045,"score_spread":0.2541556406405948,"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."}}