{"id":"W1965017622","doi":"10.1002/jgm.1370","title":"Development of a scalable process for high‐yield lentiviral vector production by transient transfection of HEK293 suspension cultures","year":2009,"lang":"en","type":"article","venue":"The Journal of Gene Medicine","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; National Research Council Canada; Biotechnology Research Institute","funders":"","keywords":"Transfection; HEK 293 cells; Transient (computer programming); Yield (engineering); Suspension (topology); Process (computing); Scalability; Viral vector; Production (economics); Cell culture; Computer science; Cell biology; Chemistry; Materials science; Biology; Genetics; Mathematics; Recombinant DNA; Biochemistry; Gene; Operating system","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":[0.001460927,0.0008698029,0.0009617198,0.0008053101,0.0003907359,0.00109426,0.0009589133,0.0009305656,0.001638897],"category_scores_gemma":[0.0006876575,0.000437834,0.001017822,0.0005976933,0.0003910601,0.0006855772,0.0006242635,0.00215152,0.002639741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000603939,"about_ca_system_score_gemma":0.0007758489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003987099,"about_ca_topic_score_gemma":0.0004866098,"domain_scores_codex":[0.9990538,0.0001097392,0.0001298473,0.0002301537,0.0003998951,0.00007658242],"domain_scores_gemma":[0.9996737,0.00007864319,0.00006201658,0.00005471102,0.00009494969,0.00003596577],"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":[0.00002235697,0.00005647487,0.000105406,0.000129802,0.00001031322,0.00007000483,0.00002712613,0.0002427735,0.9926691,0.0002551069,0.0002407535,0.006170773],"study_design_scores_gemma":[0.00002646857,0.0002108479,0.0005757611,0.00002554898,0.00003631402,0.0002292404,0.00001400046,0.002743191,0.9849079,0.0001684587,0.01104054,0.0000219029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1345652,0.003691701,0.8455294,0.0004849221,0.0004835254,0.002349406,0.003316032,0.004029319,0.00555045],"genre_scores_gemma":[0.2667893,0.005333678,0.7070709,0.0003197495,0.0001198006,0.003466176,0.01097622,0.0006089245,0.005315165],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001638897,"threshold_uncertainty_score":0.007726192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02210646035186192,"score_gpt":0.3129955088183266,"score_spread":0.2908890484664646,"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."}}