{"id":"W4365513111","doi":"10.3390/vaccines11040841","title":"Development of an Integrated Continuous Manufacturing Process for the rVSV-Vectored SARS-CoV-2 Candidate Vaccine","year":2023,"lang":"en","type":"article","venue":"Vaccines","topic":"SARS-CoV-2 and COVID-19 Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Research Council Canada; Canada Research Chairs","keywords":"Vesicular stomatitis virus; Downstream processing; Viral vector; Batch processing; Process (computing); Virology; Biology; Recombinant DNA; Computer science; Chemistry; Chromatography; Virus; Biochemistry","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":[0.0009162704,0.000670066,0.0007268029,0.000385459,0.0002694866,0.0007326877,0.0005922918,0.0005455979,0.0006977934],"category_scores_gemma":[0.0005404686,0.0003113176,0.0007325791,0.0004444253,0.000224953,0.0004941209,0.0004004118,0.0008022406,0.0005604837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003683966,"about_ca_system_score_gemma":0.001115323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008049821,"about_ca_topic_score_gemma":0.0008779354,"domain_scores_codex":[0.9994934,0.0000572346,0.00004166225,0.0001181161,0.000228981,0.0000606177],"domain_scores_gemma":[0.9998042,0.00003368122,0.00005114902,0.00001803056,0.00007088474,0.00002211567],"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":[0.0001496094,0.0001157371,0.0002730306,0.0001219779,0.000009837546,0.00005531908,0.0000285245,0.0007044981,0.9924899,0.0001625231,0.00006954751,0.005819367],"study_design_scores_gemma":[0.00003654022,0.00102709,0.001772853,0.00001379364,0.0000437001,0.00009983619,0.00002350534,0.006583577,0.9878674,0.00006094315,0.00244927,0.00002162406],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8112605,0.002657727,0.1807871,0.0002037556,0.0002027361,0.0008936388,0.0009215409,0.001032087,0.002040958],"genre_scores_gemma":[0.7800818,0.002277656,0.2129482,0.0001034297,0.00005479919,0.000686353,0.001554348,0.0001060622,0.002187443],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009162704,"threshold_uncertainty_score":0.004845798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05579290087375072,"score_gpt":0.3683092581403512,"score_spread":0.3125163572666005,"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."}}