{"id":"W3120830283","doi":"10.1038/s41598-020-79161-w","title":"Comparing microfluidics and ultrasonication as formulation methods for developing hempseed oil nanoemulsions for oral delivery applications","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Mitacs","keywords":"Sonication; Dispersity; Microfluidics; Zeta potential; Pulmonary surfactant; Nanotechnology; Materials science; Nanoparticle; Chemistry; Chemical engineering; Chromatography; Biochemistry","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":[0.0009152313,0.0005053178,0.0002899877,0.0004882314,0.0001788379,0.0005576759,0.0002732125,0.0003783949,0.0005209243],"category_scores_gemma":[0.001234662,0.0002041249,0.0004108707,0.0002316712,0.0003428233,0.0008367682,0.0003427358,0.0003455618,0.000151001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841985,"about_ca_system_score_gemma":0.0003933485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005726088,"about_ca_topic_score_gemma":0.001082326,"domain_scores_codex":[0.9995157,0.00008910007,0.00008981601,0.00009442533,0.0001560756,0.0000548893],"domain_scores_gemma":[0.9993492,0.0002743435,0.0001649815,0.0000302193,0.000147721,0.00003352262],"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":[0.0001611693,0.0000562597,0.0005211865,0.0003912951,0.0000250776,0.0000555884,0.00006907639,0.0002231447,0.981446,0.0001929032,0.00006469038,0.01679366],"study_design_scores_gemma":[0.00003279923,0.001701279,0.002823154,0.00002527,0.0001245964,0.0001959244,0.00008263659,0.002287322,0.9883255,0.00008158993,0.004293564,0.00002635774],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298975,0.03100186,0.03474947,0.00051801,0.000400619,0.0002530101,0.0001646809,0.000189894,0.002825002],"genre_scores_gemma":[0.9294508,0.02043246,0.04643193,0.000283053,0.0001673806,0.0002678847,0.0001934354,0.00004185456,0.002731255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009152313,"threshold_uncertainty_score":0.004840255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03863441081279601,"score_gpt":0.3120174554584512,"score_spread":0.2733830446456552,"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."}}