{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013204,0.0001460543,0.0001662601,0.00008293874,0.0001520345,0.000047282,0.000136539,0.00006425763,0.000008958367],"category_scores_gemma":[0.00001267994,0.000157266,0.00003028977,0.0001062764,0.0001477279,0.0001408974,0.00006104632,0.0001453395,5.517496e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003926143,"about_ca_system_score_gemma":0.00002004572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001255001,"about_ca_topic_score_gemma":1.244442e-7,"domain_scores_codex":[0.9993024,0.00001505401,0.0002461832,0.0001270952,0.0001151763,0.0001940408],"domain_scores_gemma":[0.9994861,0.000008650672,0.0001102738,0.0002487701,0.0001117064,0.00003453629],"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":[0.00001686819,0.000006554286,0.0006017536,0.00006398437,0.00006540706,0.000005510949,0.00006298313,0.00009325751,0.9807408,0.0005620259,0.00006507122,0.01771573],"study_design_scores_gemma":[0.0004678979,0.00001102621,0.0002488103,0.00002746385,0.00008357286,0.000009554289,0.00002683575,0.01488738,0.9824424,0.0003452058,0.001298922,0.0001509175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8855607,0.004783633,0.109101,0.0000231052,0.0002165037,0.0001248776,0.00002315186,0.00007645722,0.00009052998],"genre_scores_gemma":[0.9982706,0.0001365844,0.001390061,0.0001196563,0.00003502211,0.000001895007,0.000009631778,0.00003143674,0.000005127634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1127099,"threshold_uncertainty_score":0.6413122,"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."}}