{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005915034,0.00052717,0.0005277153,0.0004940244,0.0002739637,0.0005182469,0.000298363,0.0005947183,0.0009506571],"category_scores_gemma":[0.0005220165,0.0002607362,0.0003862086,0.0003534106,0.0001942258,0.0001694339,0.0003121926,0.0003257758,0.0006160901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003825945,"about_ca_system_score_gemma":0.000286431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00051217,"about_ca_topic_score_gemma":0.001119793,"domain_scores_codex":[0.9995334,0.00008487476,0.00002778066,0.00007580197,0.0002284753,0.00004979718],"domain_scores_gemma":[0.9997808,0.0001070543,0.00002597331,0.00002161307,0.00004994926,0.0000146278],"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":[0.00004479653,0.00005378245,0.00009136052,0.00002681853,0.000004349722,0.00002575192,0.00001009805,0.0003114101,0.99805,0.0000282279,0.00002908263,0.001324284],"study_design_scores_gemma":[0.000009739381,0.0002103362,0.0003977899,0.000001825503,0.00001232987,0.0000419313,0.000009635796,0.001648331,0.9971141,0.00002215351,0.0005286804,0.000003193507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509649,0.001323293,0.04207402,0.0001681684,0.00003604763,0.0009140011,0.001355836,0.0003666874,0.002797066],"genre_scores_gemma":[0.9454314,0.001434117,0.04287025,0.0001055284,0.00001287497,0.0007528996,0.001858869,0.000093925,0.007440223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009506571,"threshold_uncertainty_score":0.003180265,"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."}}