{"id":"W4229451525","doi":"10.1208/s12249-022-02294-w","title":"Optimization of DOTAP/chol Cationic Lipid Nanoparticles for mRNA, pDNA, and Oligonucleotide Delivery","year":2022,"lang":"en","type":"article","venue":"AAPS PharmSciTech","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"National Institute of General Medical Sciences; Binghamton University; National Institutes of Health","keywords":"Transfection; PEGylation; Chemistry; Oligonucleotide; Nucleic acid; Gene delivery; Messenger RNA; Molecular biology; Biophysics; Biochemistry; Biology; Gene","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":[0.0005100408,0.0005095561,0.0003625491,0.0002387076,0.0002779976,0.0004308349,0.0002329099,0.0003682837,0.0005738463],"category_scores_gemma":[0.0003793312,0.0002533022,0.0002817089,0.0002553818,0.0002215283,0.0002547816,0.000259498,0.0003703435,0.0003755097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007256672,"about_ca_system_score_gemma":0.0004952472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595905,"about_ca_topic_score_gemma":0.003435824,"domain_scores_codex":[0.9996138,0.00005227099,0.00004939846,0.00008058453,0.0001400342,0.00006392935],"domain_scores_gemma":[0.9998404,0.00003449073,0.00002724765,0.00001120517,0.00006442568,0.00002214002],"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":[0.00005441091,0.0000235877,0.00005618733,0.00004094937,0.000004134482,0.00002206299,0.0000165319,0.0004546809,0.998069,0.00007538655,0.00002755857,0.001155525],"study_design_scores_gemma":[0.000006168589,0.00007328711,0.0001793502,0.000001885504,0.0000069167,0.00001988585,0.00000723333,0.001340755,0.9977034,0.00001114113,0.0006459104,0.000004044742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764374,0.0006791813,0.02027928,0.00009199779,0.00003624078,0.0002306423,0.000208459,0.0001360212,0.001900802],"genre_scores_gemma":[0.9574093,0.0007978748,0.03734105,0.0000669769,0.000009718848,0.0003262314,0.0004190726,0.0001241802,0.003505591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001595905,"threshold_uncertainty_score":0.005265117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172467703047005,"score_gpt":0.2463721332121306,"score_spread":0.2346474561816605,"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."}}