{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003420781,0.0002704083,0.0002334619,0.0001947554,0.0001760695,0.0003844121,0.0002386855,0.0003146305,0.0006981213],"category_scores_gemma":[0.0002952345,0.0002325513,0.0002748632,0.00009764442,0.0001862004,0.0003006444,0.000167659,0.0003790233,0.0002881869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006187597,"about_ca_system_score_gemma":0.0003895069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003849974,"about_ca_topic_score_gemma":0.0009230404,"domain_scores_codex":[0.9998682,0.00001502325,0.0000127698,0.00003868232,0.00003696316,0.00002839237],"domain_scores_gemma":[0.9998889,0.00004040655,0.00003112916,0.000007651427,0.00001641042,0.00001545557],"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":[0.00003485183,0.0000199927,0.00003990404,0.00003762222,0.000003704479,0.00002302346,0.0000163163,0.0002405992,0.9974687,0.0002242011,0.00004403118,0.001847079],"study_design_scores_gemma":[0.00001027037,0.00004028976,0.0001849367,0.000002024628,0.000003191801,0.00001530744,0.000002903882,0.001470672,0.997655,0.00002287963,0.0005886821,0.000003860824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421079,0.002722319,0.05063373,0.0003510456,0.0002150275,0.0001345762,0.0002630701,0.0003501239,0.003222203],"genre_scores_gemma":[0.9749873,0.0006548104,0.02156444,0.0001059017,0.00002809409,0.00008562826,0.0001093862,0.00003665754,0.002427838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006981213,"threshold_uncertainty_score":0.004489422,"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."}}