{"id":"W2278742179","doi":"10.1007/s00449-016-1557-1","title":"Hybrid modeling as a QbD/PAT tool in process development: an industrial E. coli case study","year":2016,"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":112,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lallemand (Canada)","funders":"","keywords":"Industrial and production engineering; Flexibility (engineering); Process (computing); Quality by Design; Biochemical engineering; Bioreactor; Bioprocess; Parametric statistics; Function (biology); Process engineering; Computer science; Engineering; Mathematics; Chemistry; Mechanical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856735,0.0002240724,0.0001896181,0.0001009145,0.0001028335,0.00006709778,0.0001105562,0.0001231248,0.000004596381],"category_scores_gemma":[0.00005382598,0.0001631311,0.00002827821,0.0001019267,0.0000121127,0.000024944,0.00007370707,0.00006617443,0.000001998739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002230295,"about_ca_system_score_gemma":0.00009894206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001984932,"about_ca_topic_score_gemma":0.00007350499,"domain_scores_codex":[0.9987794,0.00002259109,0.0003299835,0.0004575773,0.0001326476,0.000277776],"domain_scores_gemma":[0.9995629,0.000005599617,0.00005800444,0.0001847396,0.00007304673,0.0001157377],"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":[0.0005008538,0.001187878,0.05536925,0.0008799325,0.0002381205,0.001708997,0.001758384,0.007200509,0.9084299,0.00003914164,0.00007374159,0.02261335],"study_design_scores_gemma":[0.01937447,0.005101844,0.001213893,0.002865711,0.0001387273,0.007317439,0.01022861,0.04762392,0.8954724,0.00008929675,0.00564254,0.004931151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982472,0.0004013672,0.0006442717,0.000006142647,0.0002152708,0.0004168499,0.00001273832,0.00004132574,0.00001485221],"genre_scores_gemma":[0.9993807,0.0000218435,0.00002969737,0.00001362504,0.0003191535,0.0001525245,0.000008650974,0.0000293806,0.00004439766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05415536,"threshold_uncertainty_score":0.6652293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01964372024762581,"score_gpt":0.2600859060616192,"score_spread":0.2404421858139934,"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."}}