{"id":"W2749155133","doi":"10.1089/hgtb.2017.086","title":"Scalable Lentiviral Vector Production Using Stable HEK293SF Producer Cell Lines","year":2017,"lang":"en","type":"article","venue":"Human Gene Therapy Methods","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":107,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"FedDev Ontario","keywords":"Biology; Vector (molecular biology); Production (economics); Scalability; Viral vector; Cell culture; Computational biology; Virology; Biotechnology; Computer science; Genetics; Recombinant DNA; Operating system; Gene","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":[0.001148032,0.0005371665,0.0007070141,0.0004703483,0.0003134222,0.00100345,0.0008527856,0.0006453856,0.00187295],"category_scores_gemma":[0.0005784768,0.0003543039,0.0004708895,0.0005010133,0.0002659844,0.0005359338,0.0005662722,0.001753679,0.002033114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004270874,"about_ca_system_score_gemma":0.0004240969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004183199,"about_ca_topic_score_gemma":0.0005104978,"domain_scores_codex":[0.9992892,0.0000858898,0.0001249477,0.0001390395,0.0003029298,0.00005802002],"domain_scores_gemma":[0.9997032,0.00006590861,0.0000565107,0.00005963718,0.00008380679,0.00003097981],"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":[0.00004257514,0.00005537656,0.0001715231,0.00007540633,0.000008706454,0.00008442975,0.00004642133,0.0002124431,0.9943468,0.0004173816,0.0004207286,0.004118246],"study_design_scores_gemma":[0.00004155617,0.0003235368,0.0007435735,0.00002317548,0.00003124484,0.000311783,0.00003053299,0.004380658,0.9797413,0.0001860786,0.01416623,0.00002019648],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4810205,0.003390584,0.4813813,0.0007116135,0.0004637513,0.0032892,0.0105637,0.003894481,0.01528496],"genre_scores_gemma":[0.5803475,0.00459656,0.3747157,0.0004247059,0.0001339667,0.002367251,0.02211288,0.0006974755,0.01460392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00187295,"threshold_uncertainty_score":0.00626564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07821888694751518,"score_gpt":0.4049885298034152,"score_spread":0.3267696428559,"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."}}