{"id":"W2006436496","doi":"10.1007/s00449-006-0107-7","title":"Statistical methods in media optimization for batch and fed-batch animal cell culture","year":2007,"lang":"en","type":"article","venue":"Bioprocess and Biosystems Engineering","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Asparagine; Glutamine; Monoclonal antibody; Metabolic flux analysis; Industrial and production engineering; Aspartic acid; Chemistry; Biochemistry; Ammonia; Amino acid; Limiting; Cell growth; Biology; Principal component analysis; Metabolism; Chromatography; Antibody; Immunology; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002559469,0.0001391042,0.0001387491,0.00004951289,0.00005093482,0.00004141926,0.00004572672,0.000164068,0.000002959757],"category_scores_gemma":[0.00007138673,0.0001186813,0.00002337175,0.00008073355,0.00001780085,0.000006731272,0.0000373299,0.00005118229,1.297501e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008440221,"about_ca_system_score_gemma":0.00001329524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002132159,"about_ca_topic_score_gemma":0.00001390887,"domain_scores_codex":[0.9992579,0.00001189498,0.0001962693,0.000271405,0.00005701009,0.0002054847],"domain_scores_gemma":[0.9996973,0.0000297731,0.00004161267,0.00007314593,0.00005040746,0.000107812],"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":[0.000134603,0.00004280714,0.002984653,0.0007274463,0.00001559088,0.000003228336,0.0001398318,0.001052405,0.9924473,0.0001389747,0.0002473161,0.002065895],"study_design_scores_gemma":[0.002739854,0.001246827,0.009300163,0.0002772363,0.00005985108,0.00006614008,0.0007381839,0.06844161,0.9002941,0.00004885293,0.0157365,0.001050652],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6204671,0.004582758,0.3743438,0.00001298313,0.0002068061,0.0002424059,0.00005699011,0.00002198481,0.00006512373],"genre_scores_gemma":[0.9619665,0.0002352966,0.03740856,0.00002059802,0.0002266408,0.00002633983,0.00006769015,0.00001828001,0.0000301676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3414993,"threshold_uncertainty_score":0.4839684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007047728362032882,"score_gpt":0.2880234914980818,"score_spread":0.2809757631360489,"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."}}