{"id":"W4390676983","doi":"10.18609/cgti.2023.187","title":"Enabling cell culture technologies for the intensification & scale-up of viral vector manufacturing","year":2023,"lang":"en","type":"article","venue":"Cell and Gene Therapy Insights","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Viral vector; Scale (ratio); Cell culture; Vector (molecular biology); Virology; Computer science; Manufacturing engineering; Engineering; Chemistry; Biology; Geography; Biochemistry; Recombinant DNA; Genetics; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001775675,0.0001591363,0.0001388256,0.00007860684,0.0002055729,0.00003042051,0.0002776439,0.0001660549,0.000005462252],"category_scores_gemma":[0.00001136315,0.000101908,0.00008831718,0.0001221922,0.0001464657,0.000005229917,0.00008035816,0.0001076235,0.000007662515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007233697,"about_ca_system_score_gemma":0.00002689213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000697654,"about_ca_topic_score_gemma":0.000033254,"domain_scores_codex":[0.9991315,0.00003203038,0.000167239,0.0003129092,0.0001198375,0.0002364874],"domain_scores_gemma":[0.99937,0.00003332254,0.0000778297,0.0003733374,0.000114472,0.00003102303],"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":[0.000779342,0.00002539729,0.00002082664,0.00002959445,0.00003478746,2.304292e-7,0.0006111938,0.00005021,0.9860968,0.000005963943,0.0009083611,0.01143727],"study_design_scores_gemma":[0.0007313132,0.0006907767,0.00009205355,0.000005139198,0.000008074276,0.000001190578,0.0006171102,0.00007777937,0.9419901,0.0003376272,0.05531827,0.0001305415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986444,0.01229121,0.0003127569,0.0002326317,0.0001206528,0.0004428041,0.0000153963,0.00005378327,0.00008675727],"genre_scores_gemma":[0.9794633,0.0179816,0.0001731409,0.00008172166,0.0001255136,0.00008143031,0.00009954512,0.00002686412,0.00196688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05440991,"threshold_uncertainty_score":0.4155686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02806008795911264,"score_gpt":0.278736637286289,"score_spread":0.2506765493271764,"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."}}