{"id":"W2782376404","doi":"10.1021/acsbiomaterials.7b00572","title":"Characterization of Nanoscale Loaded Liposomes Produced by 2D Hydrodynamic Flow Focusing","year":2018,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Liposome; Dispersity; Microfluidics; Zeta potential; Particle size; Nanoparticle; Volumetric flow rate; Materials science; Lipid bilayer; POPC; Chromatography; Nanotechnology; Chemistry; Chemical engineering; Analytical Chemistry (journal); Membrane; Polymer chemistry; Biochemistry; Physical chemistry","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":[0.0003402225,0.000321756,0.0001837842,0.0003755496,0.0001123741,0.0002322843,0.0001765664,0.0003682653,0.0004308909],"category_scores_gemma":[0.0003680794,0.0001237971,0.0001992849,0.0001312898,0.0001569354,0.0003095917,0.0001667144,0.0002707227,0.000248307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002213976,"about_ca_system_score_gemma":0.000131605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003638238,"about_ca_topic_score_gemma":0.0002948002,"domain_scores_codex":[0.9998764,0.00001699776,0.00001361885,0.00003431088,0.00003677293,0.00002187811],"domain_scores_gemma":[0.999849,0.00005010997,0.00003909244,0.00001473085,0.00003390996,0.00001306102],"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":[0.00002388955,0.000007283552,0.0001560313,0.00001789514,0.000001812425,0.00001791753,0.00001871498,0.00008607667,0.9984309,0.00005315486,0.00001669163,0.001169659],"study_design_scores_gemma":[0.0000060173,0.00005477036,0.001048599,0.000003321833,0.000004836535,0.00005046239,0.000008143698,0.00128365,0.9968106,0.00002723439,0.0006971658,0.000005058177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9438251,0.001464336,0.05231587,0.0001207645,0.00004627872,0.0001572379,0.0007798075,0.0002420631,0.001048571],"genre_scores_gemma":[0.9513721,0.001067819,0.04419867,0.0001114885,0.00002341844,0.0002976077,0.001098735,0.00007214102,0.001758161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004308909,"threshold_uncertainty_score":0.001799285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006364770911263368,"score_gpt":0.2089084606083741,"score_spread":0.2025436896971108,"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."}}