{"id":"W7122431200","doi":"10.18609/cgti.2022.246","title":"Process & analytical insights for GMP manufacturing of mRNA lipid nanoparticles","year":2022,"lang":"en","type":"article","venue":"Cell and Gene Therapy Insights","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":"Manufacturing process; Process (computing); Messenger RNA; Product (mathematics); RNA; Software deployment; Key (lock); New product development","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":[0.000915797,0.0009171274,0.0004231534,0.0007163559,0.0004397432,0.001114117,0.0006003132,0.0007444648,0.002711201],"category_scores_gemma":[0.0008685138,0.0004841503,0.0004159164,0.0004753099,0.0007490755,0.001143517,0.0006735419,0.001349645,0.003096214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007908631,"about_ca_system_score_gemma":0.00117966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006091237,"about_ca_topic_score_gemma":0.0009697478,"domain_scores_codex":[0.9993697,0.00007344291,0.0000326379,0.00009163788,0.0003859122,0.00004671985],"domain_scores_gemma":[0.9997416,0.0001135918,0.0000438039,0.00002830851,0.00005999739,0.00001264901],"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":[0.00009206486,0.0001009472,0.0003717088,0.0009292769,0.00001291237,0.0006851712,0.0002870451,0.002507251,0.8726192,0.01891919,0.002118277,0.101357],"study_design_scores_gemma":[0.00001796692,0.0001614764,0.0004470675,0.00007158041,0.00001088612,0.0007972988,0.0001072877,0.009799216,0.9025207,0.005572202,0.08046252,0.00003176434],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06385079,0.01285709,0.8783739,0.002188559,0.000517073,0.0006712331,0.0008476597,0.00177258,0.03892112],"genre_scores_gemma":[0.2131549,0.01681579,0.7493533,0.001142583,0.0002126682,0.0006584708,0.0006152063,0.0004824009,0.01756467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002711201,"threshold_uncertainty_score":0.00906992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028146037924745,"score_gpt":0.2551450798181778,"score_spread":0.2348636194389304,"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."}}