{"id":"W4409165052","doi":"10.3390/vaccines13040389","title":"The Application of mRNA Technology for Vaccine Production—Current State of Knowledge","year":2025,"lang":"en","type":"review","venue":"Vaccines","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Current (fluid); State (computer science); Biochemical engineering; Computer science; Engineering; Electrical engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001494668,0.0001818392,0.0005238357,0.0001411706,0.00004797697,0.00000391294,0.0003871681,0.0001211764,5.82207e-7],"category_scores_gemma":[0.0001788579,0.0001170578,0.0002291515,0.0002798898,0.00002154681,0.000001345748,0.0001292706,0.00007366868,0.000002265922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008056543,"about_ca_system_score_gemma":0.0002124419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001687028,"about_ca_topic_score_gemma":0.00004174602,"domain_scores_codex":[0.9990001,0.00002984302,0.0005011006,0.0003059402,0.00003618053,0.000126791],"domain_scores_gemma":[0.9985822,0.0000410037,0.0003998672,0.0005529897,0.0004110422,0.00001285469],"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":[0.0000282054,0.0000470112,0.00000889887,0.007133617,0.0001156836,1.176337e-8,0.000003026126,0.000001314181,0.001045885,0.00006070262,0.003906595,0.987649],"study_design_scores_gemma":[0.00009538612,0.000133997,0.000008929895,0.001293025,0.0001878583,0.00000223777,0.000003464415,0.000002935562,0.01528429,0.0002207878,0.9826654,0.0001016688],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003369284,0.99718,0.0009136325,0.00006343311,0.0004460763,0.0009510034,0.0000686176,0.000007185336,0.00003306664],"genre_scores_gemma":[0.0005943355,0.9973896,0.00006139887,0.000001438801,0.0001901212,0.000468808,0.0001667833,0.00001421093,0.001113282],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9875474,"threshold_uncertainty_score":0.4773478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01798348453868477,"score_gpt":0.3397398995032491,"score_spread":0.3217564149645644,"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."}}