{"id":"W4362524815","doi":"10.1158/1538-7445.am2023-4066","title":"Abstract 4066: Lipid nanoparticle library towards development next generation genomic medicines","year":2023,"lang":"en","type":"article","venue":"Cancer Research","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Precision Nanosystems (Canada)","funders":"","keywords":"Nucleic acid; Transfection; Genetic enhancement; Cancer; In vivo; Computational biology; Chemistry; Biology; Gene; Biochemistry; Genetics","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":[0.0002649932,0.0004412529,0.0002714252,0.0005166545,0.0001319478,0.0004659991,0.000255145,0.0004667998,0.00237783],"category_scores_gemma":[0.0001941841,0.0001563086,0.0003235827,0.0002741354,0.0001353649,0.0002832051,0.000474445,0.0004267466,0.002226136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438824,"about_ca_system_score_gemma":0.0002946142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002346109,"about_ca_topic_score_gemma":0.0002978247,"domain_scores_codex":[0.9998753,0.00002280744,0.000009623002,0.00002832693,0.00004378407,0.00002016919],"domain_scores_gemma":[0.9999483,0.00000641532,0.00000929295,0.000004705981,0.00001808574,0.00001315628],"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":[0.0000784705,0.00006925089,0.0000712595,0.00009740084,0.000009319699,0.00009267642,0.0000251059,0.0005070789,0.9838991,0.0004541483,0.0003770379,0.01431918],"study_design_scores_gemma":[0.00002765049,0.0006058138,0.0002047001,0.00001491319,0.00002377959,0.0001245396,0.00001117869,0.001188703,0.9820712,0.0001385535,0.01557973,0.000009289707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8174298,0.008216992,0.1259818,0.001268481,0.0004161683,0.001228893,0.002314047,0.001705212,0.04143856],"genre_scores_gemma":[0.8574927,0.005594037,0.1007333,0.0006635918,0.00006172024,0.0006831622,0.002217351,0.0002542715,0.03229985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00237783,"threshold_uncertainty_score":0.007954657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.145593150426299,"score_gpt":0.3807679550327482,"score_spread":0.2351748046064493,"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."}}