{"id":"W2340617878","doi":"10.1016/j.jcis.2016.04.010","title":"Microfluidic synthesis of dye-loaded polycaprolactone-block-poly(ethylene oxide) nanoparticles: Insights into flow-directed loading and in vitro release for drug delivery","year":2016,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Nanoparticle; Ethylene oxide; Chemical engineering; Polycaprolactone; Materials science; Crystallinity; Microfluidics; Drug delivery; Volumetric flow rate; Nanotechnology; Chemistry; Polymer; Copolymer; Composite material","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":[0.001007295,0.0001545872,0.000317019,0.0005596275,0.00008197564,0.00003781539,0.0002295476,0.00005814918,0.000002615169],"category_scores_gemma":[0.0003666094,0.0001119946,0.00003743514,0.0007664514,0.0004155699,0.0006527944,0.00006176799,0.0001235841,4.858408e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002042899,"about_ca_system_score_gemma":0.0001259332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001124768,"about_ca_topic_score_gemma":8.753593e-7,"domain_scores_codex":[0.9986812,0.00002849091,0.0006461765,0.0001797109,0.0002093206,0.0002550688],"domain_scores_gemma":[0.9989988,0.0001998272,0.0002075125,0.0001200892,0.0003911957,0.00008263227],"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":[0.0003361914,0.00002391439,0.00005765888,0.00005987265,0.00001546903,9.25389e-7,0.0007022451,0.000001424587,0.9891095,0.00002225702,0.0004292679,0.009241247],"study_design_scores_gemma":[0.0005930678,0.000085142,0.0003018301,0.0004960645,0.00001483621,0.00002654962,0.0003176134,0.0006201917,0.9967706,0.0002018205,0.0004280971,0.0001442037],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787856,0.009131847,0.01156375,0.0001482043,0.0001451674,0.0001590673,0.000006591832,0.00003236969,0.00002739099],"genre_scores_gemma":[0.9959684,0.0009738549,0.002962304,0.00002876631,0.00002171159,0.000007314688,1.599671e-7,0.00001422223,0.00002323868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01718282,"threshold_uncertainty_score":0.4567009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006918334705335498,"score_gpt":0.2264449454629808,"score_spread":0.2195266107576453,"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."}}