{"id":"W4409838841","doi":"10.1016/j.vaccine.2025.127170","title":"Advancing regulatory dialogue: In silico models for improved vaccine biomanufacturing - an expert meeting report","year":2025,"lang":"en","type":"article","venue":"Vaccine","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"Innovative Medicines Initiative; European Commission; European Federation of Pharmaceutical Industries and Associations","keywords":"Biomanufacturing; In silico; Computational biology; Virology; Biology; Computer science; Biotechnology; Genetics","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":[0.05374549,0.001853573,0.001125878,0.001407483,0.001219458,0.00680331,0.004365935,0.007717373,0.01075022],"category_scores_gemma":[0.02510246,0.001191922,0.002721507,0.0007686774,0.001586445,0.005982709,0.005225187,0.006263761,0.003556018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0048227,"about_ca_system_score_gemma":0.006502341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004496941,"about_ca_topic_score_gemma":0.00441695,"domain_scores_codex":[0.9808109,0.01177986,0.0004850919,0.0009312385,0.005030636,0.0009622067],"domain_scores_gemma":[0.9839364,0.008707209,0.0006041511,0.001187375,0.004381236,0.001183637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006986636,0.001103707,0.00134481,0.003261843,0.0002984116,0.0009928616,0.002963377,0.1650884,0.03115357,0.2093829,0.3962758,0.1874356],"study_design_scores_gemma":[0.0001714344,0.0004335612,0.0003620668,0.001293823,0.00008831942,0.0001529641,0.0006085281,0.07024083,0.01305907,0.04569526,0.8677381,0.0001560468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.03737052,0.0601349,0.4766103,0.2649516,0.02011862,0.001715412,0.004502778,0.005500444,0.1290954],"genre_scores_gemma":[0.2996829,0.07224409,0.4697277,0.028001,0.0054947,0.002304723,0.01020097,0.002988059,0.1093559],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05374549,"threshold_uncertainty_score":0.2842367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007561752435960473,"score_gpt":0.2787352653332295,"score_spread":0.271173512897269,"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."}}