{"id":"W3096293983","doi":"10.1007/s00449-020-02456-9","title":"Development of new media formulations for cell culture operations based on regression models","year":2020,"lang":"en","type":"article","venue":"Bioprocess and Biosystems Engineering","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Partial least squares regression; Principal component analysis; Multivariate statistics; Principal component regression; Lasso (programming language); Optimization problem; Set (abstract data type); Mathematical optimization; Mathematics; Computer science; Linear regression; Elastic net regularization; Regression; Statistics","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":[0.001521921,0.001559822,0.0008477495,0.0007661044,0.0002648295,0.001267495,0.001327796,0.0007586722,0.001947543],"category_scores_gemma":[0.003722656,0.0006930385,0.001188347,0.0006198236,0.0003270731,0.001804951,0.0008639655,0.001758953,0.001268203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000745561,"about_ca_system_score_gemma":0.00114258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002120521,"about_ca_topic_score_gemma":0.002703631,"domain_scores_codex":[0.9993881,0.0001629264,0.0000624445,0.0001066443,0.0002448263,0.0000350452],"domain_scores_gemma":[0.9985105,0.0008549696,0.0001594061,0.00008825801,0.0003530452,0.00003374695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003010926,0.0004380986,0.001012157,0.0005509675,0.0001264726,0.000122546,0.0000981211,0.5642118,0.1792754,0.01594763,0.001729882,0.2361858],"study_design_scores_gemma":[0.00001043416,0.00007580576,0.00008307544,0.0000103045,0.00001827327,0.00001488985,0.00001230439,0.9536709,0.04331639,0.001016696,0.00175502,0.00001592727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009551085,0.0001750783,0.9888221,0.00007845332,0.00003344764,0.00008268829,0.0000857499,0.000440835,0.0007305861],"genre_scores_gemma":[0.1273605,0.0006898833,0.8661535,0.00006189776,0.00004782742,0.0004103157,0.0004449784,0.0004841841,0.004346877],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002120521,"threshold_uncertainty_score":0.008048773,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0359630829455761,"score_gpt":0.2495623491037133,"score_spread":0.2135992661581372,"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."}}