{"id":"W4387459850","doi":"10.3390/biom13101497","title":"Enabling mRNA Therapeutics: Current Landscape and Challenges in Manufacturing","year":2023,"lang":"en","type":"review","venue":"Biomolecules","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McGill University","keywords":"Messenger RNA; Computational biology; Biology; Computer science; Bioinformatics; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002077364,0.001132921,0.001526179,0.00199268,0.0004601949,0.002086567,0.001503256,0.002107995,0.004577365],"category_scores_gemma":[0.001478513,0.0007366721,0.0007777368,0.002067254,0.00133515,0.003237181,0.001169019,0.003738189,0.003402022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001216159,"about_ca_system_score_gemma":0.001670649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031755,"about_ca_topic_score_gemma":0.001301397,"domain_scores_codex":[0.998955,0.0001787539,0.0001052875,0.0001291652,0.0005425433,0.00008927373],"domain_scores_gemma":[0.9989842,0.0006482266,0.0001112527,0.00003664578,0.0001735955,0.00004605849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007007673,0.00009397991,0.00012171,0.0227375,0.00004599001,0.000324264,0.0001406416,0.0009563451,0.008724672,0.02794922,0.02149636,0.9173393],"study_design_scores_gemma":[0.000009754424,0.0001280084,0.0001748747,0.001853857,0.00002797411,0.0007152563,0.00006015252,0.0001539502,0.002376265,0.004033996,0.9904451,0.00002091243],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002178989,0.9956256,0.001108711,0.0005113111,0.0002751071,0.00001064101,0.00001815865,0.00002283599,0.002209704],"genre_scores_gemma":[0.000973885,0.9961309,0.00134401,0.0002888517,0.0001805984,0.00002013114,0.00003310149,0.00000745127,0.00102097],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004577365,"threshold_uncertainty_score":0.01531285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1743224943707186,"score_gpt":0.3582739617207316,"score_spread":0.183951467350013,"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."}}