{"id":"W4389222448","doi":"10.3390/pr11123347","title":"Integrated Semi-Continuous Manufacturing of Lentiviral Vectors Using a HEK-293 Producer Cell Line","year":2023,"lang":"en","type":"article","venue":"Processes","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canada Research Chairs; McGill University","keywords":"Process engineering; Scalability; Upstream (networking); Downstream processing; Bioprocess; Batch processing; Computer science; Workflow; Continuous flow; Downstream (manufacturing); Chemistry; Biochemical engineering; Chromatography; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002194375,0.0001625858,0.0001742149,0.0001177046,0.00006173178,0.00002442188,0.0002300531,0.00009374408,0.00003008416],"category_scores_gemma":[0.0001347267,0.0001445878,0.00005594878,0.0003861354,0.00007096516,0.000006989806,0.0001221453,0.0001110304,0.00001837762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001426859,"about_ca_system_score_gemma":0.0002600064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003981242,"about_ca_topic_score_gemma":0.00006611444,"domain_scores_codex":[0.9988713,0.00004726765,0.0002028508,0.0003636045,0.0001857001,0.0003292569],"domain_scores_gemma":[0.9993755,0.00001500517,0.00008778185,0.0002652679,0.0002055587,0.00005092125],"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":[0.0004492321,0.00007710003,0.001042511,0.0007300793,0.0000433897,0.000004994604,0.0001116455,0.0005689048,0.9941174,1.0795e-7,0.0002592767,0.002595311],"study_design_scores_gemma":[0.0003330696,0.000538148,0.0000801401,0.00005375404,0.00001300019,0.000002844612,0.0001333632,0.0001557556,0.9961944,0.00002380275,0.002313906,0.0001578579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972206,0.002069027,0.0001216713,0.00004380582,0.00007373222,0.0002172821,0.00002519212,0.00004567397,0.0001829942],"genre_scores_gemma":[0.9976084,0.00053808,0.0001301438,0.00002371396,0.0001452496,0.00002137797,0.0001077458,0.00004266835,0.001382584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002437453,"threshold_uncertainty_score":0.5896119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02866577183933441,"score_gpt":0.300167615183825,"score_spread":0.2715018433444906,"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."}}