{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07675983,0.002225672,0.00417237,0.003341345,0.002017496,0.002852513,0.005172386,0.002395781,0.005057102],"category_scores_gemma":[0.1751455,0.001911182,0.005417157,0.004889374,0.003366574,0.003419308,0.002828671,0.006946745,0.001583273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482758,"about_ca_system_score_gemma":0.006519898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004301681,"about_ca_topic_score_gemma":0.003475123,"domain_scores_codex":[0.9254144,0.05541544,0.004456691,0.005130327,0.008537255,0.001045727],"domain_scores_gemma":[0.6929526,0.270538,0.00704686,0.0193657,0.008926925,0.001169902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003981368,0.0009489987,0.01620526,0.00331295,0.005916444,0.0005690635,0.001110147,0.1288604,0.01381207,0.09591847,0.02041826,0.7089466],"study_design_scores_gemma":[0.0006614839,0.001402151,0.0125748,0.0003043225,0.001075589,0.0003340799,0.0003679887,0.8186302,0.02227197,0.1175282,0.0245385,0.0003106815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004911947,0.0003443443,0.9909261,0.0001667379,0.0001727495,0.0002816211,0.0005229136,0.002415041,0.0002584003],"genre_scores_gemma":[0.04749125,0.000223692,0.9450431,0.0002104344,0.0001511729,0.002702525,0.001377944,0.001961823,0.0008380797],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07675983,"threshold_uncertainty_score":0.4059497,"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."}}