{"id":"W4390676983","doi":"10.18609/cgti.2023.187","title":"Enabling cell culture technologies for the intensification &amp; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003319292,0.001277853,0.0007958656,0.00175531,0.001092658,0.00245573,0.001461482,0.001120212,0.007549684],"category_scores_gemma":[0.00195899,0.0007872112,0.001104392,0.001347718,0.001123494,0.002071668,0.001852965,0.003552423,0.006962516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001828314,"about_ca_system_score_gemma":0.003043393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00394802,"about_ca_topic_score_gemma":0.007890573,"domain_scores_codex":[0.9975133,0.0002864339,0.0001475419,0.0002842138,0.001591176,0.0001773323],"domain_scores_gemma":[0.9981198,0.0003532717,0.0001978913,0.0003331247,0.0008135111,0.0001824593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007943364,0.0001228065,0.0004834636,0.0007415972,0.00002437718,0.0002497928,0.0003339851,0.0007655325,0.8259982,0.0208395,0.018904,0.1314572],"study_design_scores_gemma":[0.00002843697,0.0001436899,0.00104273,0.0001541243,0.00004354955,0.0006759251,0.0000791359,0.001935329,0.5909222,0.005069168,0.3998416,0.0000641265],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02784175,0.0269443,0.8855265,0.00570314,0.002830512,0.001606505,0.002873499,0.003982709,0.04269107],"genre_scores_gemma":[0.06843884,0.04041137,0.854274,0.001912853,0.0005358264,0.001533017,0.004936671,0.0008618786,0.02709544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007549684,"threshold_uncertainty_score":0.02525616,"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."}}