{"id":"W2964012888","doi":"10.1016/j.xphs.2019.07.015","title":"On-Chip Preparation of Amphiphilic Nanomicelles–in–Sodium Alginate Spheroids as a Novel Platform Against Triple-Negative Human Breast Cancer Cells: Fabrication, Study of Microfluidics Flow Hydrodynamics and Proof of Concept for Anticancer and Drug Delivery Applications","year":2019,"lang":"en","type":"article","venue":"Journal of Pharmaceutical Sciences","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Microfluidics; Nanotechnology; Drug delivery; Amphiphile; Materials science; Spheroid; Proof of concept; Chemistry; Computer science; Polymer; Organic chemistry; Copolymer; 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":[0.0001740501,0.000330605,0.0002406204,0.0001346525,0.0001399117,0.0002060611,0.0002357015,0.0002499052,0.0007129119],"category_scores_gemma":[0.0001376663,0.0001608211,0.0002689535,0.00008306236,0.0001384299,0.000190561,0.0001783817,0.000369314,0.0004782891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002985798,"about_ca_system_score_gemma":0.0003361341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005690815,"about_ca_topic_score_gemma":0.001862383,"domain_scores_codex":[0.9998932,0.00000852283,0.000009867158,0.00003032333,0.00003440018,0.00002355416],"domain_scores_gemma":[0.9999161,0.00002025969,0.00002075545,0.00001335209,0.0000148669,0.00001469394],"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":[0.00001038135,0.00000758673,0.00001982622,0.00001058134,0.000001602971,0.000006924483,0.000005505637,0.00006069595,0.9993539,0.00002464443,0.00002065799,0.0004776787],"study_design_scores_gemma":[0.000003396038,0.00003046755,0.0002578612,7.17733e-7,0.000003354946,0.00001250841,0.0000032728,0.0009828532,0.9982364,0.00000572596,0.0004605732,0.000002759972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422167,0.0006246672,0.05339115,0.0001879104,0.0001037669,0.0001751768,0.0007150697,0.0004816257,0.002103903],"genre_scores_gemma":[0.9466324,0.0004895382,0.04869195,0.0001020407,0.00001785743,0.0001768201,0.0005652216,0.00006236459,0.003261721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007129119,"threshold_uncertainty_score":0.002384901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025980760136854,"score_gpt":0.3199187639327071,"score_spread":0.2996589563313385,"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."}}