{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000669756,0.000147133,0.0001723347,0.00005624207,0.0001941275,0.00001437733,0.0001773538,0.00005999055,0.00004055295],"category_scores_gemma":[0.000003911069,0.0001219493,0.00008763364,0.00005461061,0.00006564879,0.000005789591,0.00007899908,0.00006686317,0.000001959149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006357328,"about_ca_system_score_gemma":0.00004442127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006920701,"about_ca_topic_score_gemma":0.0000120746,"domain_scores_codex":[0.9991318,0.00004546832,0.0002107359,0.0003139604,0.0001187707,0.0001792387],"domain_scores_gemma":[0.9995491,0.00001455094,0.00008140483,0.0002275655,0.00005920946,0.00006818216],"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":[0.0004585592,0.000142888,0.0001222616,0.00002718857,0.00005674367,0.000001256006,0.0007395861,0.0002641407,0.995202,0.00002350413,0.0004306083,0.002531241],"study_design_scores_gemma":[0.0007507375,0.000779598,0.000208672,0.000003461065,0.00001378493,0.000006116312,0.0001894278,0.00009809495,0.9431394,0.0005523152,0.05409037,0.0001680319],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947191,0.004450633,0.0001159467,0.00004678025,0.0001228619,0.0002129455,0.0000151871,0.000008007031,0.000308578],"genre_scores_gemma":[0.9976337,0.0009650799,0.00009357064,0.0002634368,0.0001518809,0.00006465106,0.00007601013,0.00001732857,0.0007343203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05365976,"threshold_uncertainty_score":0.4972949,"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."}}