{"id":"W3103321439","doi":"10.3390/pharmaceutics12111095","title":"Manufacturing Considerations for the Development of Lipid Nanoparticles Using Microfluidics","year":2020,"lang":"en","type":"article","venue":"Pharmaceutics","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"Precision Nanosystems (Canada)","funders":"Engineering and Physical Sciences Research Council; Cancer Research UK","keywords":"Dispersity; Microfluidics; Chemistry; Nanoparticle; Nanotechnology; Buffer (optical fiber); Payload (computing); Nucleic acid; Particle size; Chromatography; Materials science; Computer science; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007429918,0.00006767974,0.00006268746,0.000007401383,0.0001163578,0.00001303378,0.00008347652,0.00002919874,0.0000156957],"category_scores_gemma":[0.00004198004,0.00005429584,0.00004163851,0.00001799744,0.0000363826,0.000002250109,0.00006015,0.00003498866,0.000002450556],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004581078,"about_ca_system_score_gemma":0.00008452593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.608453e-7,"about_ca_topic_score_gemma":0.000002186672,"domain_scores_codex":[0.9995427,0.00001265617,0.000174765,0.0001101852,0.00004906554,0.0001106964],"domain_scores_gemma":[0.9997406,0.00003357861,0.00004876426,0.00007978165,0.0000558759,0.00004138679],"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":[0.00003349227,0.00001235986,0.0001463246,0.00002168735,0.00006310891,1.656288e-7,0.0004514973,0.0004011175,0.9962599,0.00000888316,0.0006755539,0.001925931],"study_design_scores_gemma":[0.0002292645,0.00002935359,0.00003639863,0.000004030982,0.00003221325,0.000002071399,0.0001933941,0.002183719,0.9575119,0.00001259221,0.03969781,0.00006724587],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849473,0.0008410328,0.01341885,0.0004913644,0.00009928759,0.0001582031,0.0000155257,0.000004638276,0.00002384705],"genre_scores_gemma":[0.9914339,0.0001244643,0.007216509,0.001035695,0.0001541305,0.000008437059,0.000006939361,0.000008652389,0.000011254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03902225,"threshold_uncertainty_score":0.221412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1552105268611953,"score_gpt":0.3512033802500744,"score_spread":0.1959928533888791,"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."}}