{"id":"W4398198895","doi":"10.1016/j.jcyt.2024.03.280","title":"HIGH THROUGHPUT SCREENING OF LIPID NANOPARTICLES FOR ENHANCED DRUG DELIVERY TO IMMUNE CELLS","year":2024,"lang":"en","type":"article","venue":"Cytotherapy","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Precision Nanosystems (Canada)","funders":"","keywords":"Drug delivery; Drug; Immune system; High-throughput screening; Chemistry; Nanoparticle; Solid lipid nanoparticle; Throughput; Pharmacology; Nanotechnology; Medicine; Immunology; Materials science; Biochemistry; Computer science","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":[0.0001234647,0.000129836,0.0001594834,0.00004415607,0.00003996496,0.000030405,0.0001769183,0.00006656483,0.00004897705],"category_scores_gemma":[0.000007277018,0.0001177143,0.000140843,0.00008601288,0.00003656379,0.000006384872,0.0000387954,0.00003715692,0.00002284126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007588218,"about_ca_system_score_gemma":0.00004343509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004108605,"about_ca_topic_score_gemma":0.00001661905,"domain_scores_codex":[0.9991707,0.00002003356,0.0002169029,0.0002990371,0.00007346707,0.0002198611],"domain_scores_gemma":[0.9995676,0.00002354418,0.00003544742,0.0002453748,0.00008023075,0.00004779029],"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":[0.0002418136,0.00002597544,0.000008706077,0.00003026627,0.00009342777,7.335776e-7,0.0002394348,0.0001886001,0.9752961,0.00004495243,0.003321673,0.0205083],"study_design_scores_gemma":[0.000296698,0.0004759046,0.00005914649,0.00007023509,0.00001052852,8.860729e-7,0.00009204065,0.00006147219,0.9778612,0.00008521488,0.0208421,0.0001445683],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741576,0.002832422,0.02203167,0.0002069031,0.0003933648,0.0002403878,0.000046888,0.00002110743,0.00006962312],"genre_scores_gemma":[0.9929163,0.0006147512,0.004556094,0.0003666133,0.0003476358,0.0000518843,0.00002788202,0.00003100294,0.001087856],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02036374,"threshold_uncertainty_score":0.4800248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099989188221927,"score_gpt":0.2598600564012131,"score_spread":0.2488601645189938,"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."}}