{"id":"W4410981256","doi":"10.1039/d4na01034e","title":"RNA lipid nanoparticles stabilized during nebulization through excipient selection","year":2025,"lang":"en","type":"article","venue":"Nanoscale Advances","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Alberta; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Hospital for Sick Children; University of Toronto","keywords":"Excipient; Selection (genetic algorithm); Nanoparticle; Chemistry; Chromatography; Nanotechnology; Materials science; Computer science; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007580809,0.0001229558,0.0001962356,0.0001019976,0.0002228888,0.00002048382,0.0000469097,0.00007676305,0.0001440111],"category_scores_gemma":[0.0000945311,0.0001043131,0.00006942502,0.0005056442,0.00006857775,0.0003317589,0.00002387811,0.0001044044,0.00003497227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001071122,"about_ca_system_score_gemma":0.00007957754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005324775,"about_ca_topic_score_gemma":0.00001739393,"domain_scores_codex":[0.9989874,0.00005095456,0.0002878527,0.0002606951,0.0002087369,0.0002043969],"domain_scores_gemma":[0.9995288,0.00003704228,0.00007635667,0.0001464941,0.0001615983,0.00004966515],"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":[0.0005157292,0.0002622972,0.01943948,0.0002910956,0.00003937146,0.000006184108,0.0003786734,0.0007947664,0.9621052,0.0008969624,0.0004939197,0.01477636],"study_design_scores_gemma":[0.001896946,0.00009673738,0.007344025,0.000167528,0.00005436057,0.000007145041,0.0002567059,0.0005131054,0.9131677,0.0001526229,0.0762149,0.0001282595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878002,0.001889861,0.001462549,0.0006242063,0.0006332761,0.0003406348,0.00000174219,0.0001912161,0.007056335],"genre_scores_gemma":[0.9945298,0.0004610014,0.0007991904,0.0006405381,0.0001616005,0.00003375901,0.0000071912,0.00001221154,0.003354712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07572099,"threshold_uncertainty_score":0.4253764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00963260709855217,"score_gpt":0.2873118900388691,"score_spread":0.2776792829403169,"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."}}