{"id":"W4389218798","doi":"10.1182/blood-2023-181406","title":"Lipid Nanoparticle Library Towards Development of Next Generation Genomic Medicines","year":2023,"lang":"en","type":"article","venue":"Blood","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Precision Nanosystems (Canada)","funders":"","keywords":"Nucleic acid; Genetic enhancement; Transfection; In vivo; Cancer; Computational biology; Chemistry; Biology; Biochemistry; Gene; Biotechnology; 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":[0.0003281435,0.0004504205,0.0003207872,0.0005377564,0.0001541288,0.0006209867,0.0003109687,0.0006695406,0.00163154],"category_scores_gemma":[0.0002703912,0.0002131158,0.0003979074,0.0002648392,0.0001928486,0.0004026146,0.0005522691,0.0005753131,0.00176642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005188066,"about_ca_system_score_gemma":0.0003653541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002677354,"about_ca_topic_score_gemma":0.0004352078,"domain_scores_codex":[0.9998057,0.00002954845,0.00001380967,0.00004760124,0.00007451347,0.0000288404],"domain_scores_gemma":[0.9999303,0.00001003152,0.00001213837,0.000006904789,0.00002634197,0.00001433299],"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":[0.00006980961,0.00004969547,0.00005582362,0.000119626,0.00001120672,0.0001226688,0.00003287731,0.0005865704,0.9839996,0.0006562946,0.0003097681,0.01398608],"study_design_scores_gemma":[0.00001958138,0.0003563822,0.000119625,0.00001601671,0.000023255,0.0001308125,0.00001467652,0.001282122,0.9809629,0.0001805339,0.01688427,0.00000982686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.693534,0.01735206,0.2312594,0.002127113,0.0005777128,0.001572768,0.002731813,0.002351122,0.048494],"genre_scores_gemma":[0.7978443,0.01397685,0.149851,0.001357187,0.000087149,0.001149886,0.002781826,0.0002913088,0.03266063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00163154,"threshold_uncertainty_score":0.005457997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288884195111931,"score_gpt":0.2442785547128251,"score_spread":0.2113897127617058,"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."}}