{"id":"W3159841217","doi":"10.1038/s41541-021-00322-7","title":"Quality by design modelling to support rapid RNA vaccine production against emerging infectious diseases","year":2021,"lang":"en","type":"article","venue":"npj Vaccines","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Michael Smith Health Research BC","funders":"Engineering and Physical Sciences Research Council; Research Councils UK; Department of Health and Social Care; UK Research and Innovation","keywords":"Quality by Design; Bioprocess; Critical quality attributes; Quality (philosophy); Computer science; Biochemical engineering; Computational biology; Automation; Production (economics); Biotechnology; Risk analysis (engineering); Engineering; Biology; Medicine; Operations management; Downstream (manufacturing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001855708,0.0002645252,0.0002506441,0.00006387293,0.0002598056,0.00006857254,0.0001355854,0.0001182764,0.0001535118],"category_scores_gemma":[0.0002968753,0.0002572566,0.0001655461,0.0002633386,0.000008416901,0.00001766653,0.0001457484,0.0000912771,0.00002622375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002664777,"about_ca_system_score_gemma":0.0001201647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002121425,"about_ca_topic_score_gemma":0.00001572286,"domain_scores_codex":[0.9981956,0.0001855885,0.0003781693,0.0007099503,0.0001835824,0.0003470602],"domain_scores_gemma":[0.9987593,0.00001853251,0.0001213163,0.0005422627,0.000316132,0.0002424823],"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":[0.0001779392,0.0002819705,0.006377752,0.0000568832,0.00009033771,0.000007292283,0.00004240783,0.0491247,0.7444107,0.000008104213,0.1860375,0.01338445],"study_design_scores_gemma":[0.001232385,0.0007584803,0.001444554,0.00004986593,0.00007469194,0.00002688194,0.0001167729,0.0007651567,0.9494582,0.0003826038,0.04492384,0.0007665906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939587,0.002594937,0.05515286,0.0004869228,0.001021334,0.0003517754,0.00005711152,0.0001070831,0.00064095],"genre_scores_gemma":[0.9943416,0.001081989,0.0005330477,0.001035248,0.0009153335,0.0001018241,0.0004145542,0.00004753149,0.001528889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2050475,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02066712816541159,"score_gpt":0.292570713480631,"score_spread":0.2719035853152194,"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."}}