{"id":"W2017032761","doi":"10.1007/s00253-002-1122-5","title":"Bioprocessing strategies for improving hen egg-white lysozyme (HEWL) production by recombinant Aspergillus niger HEWL WT-13-16","year":2002,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Aspergillus niger; Lysozyme; Protease; Mycelium; Chromatography; Bioprocess; Chemistry; Biochemistry; Bioreactor; Enzyme; Biology; Botany","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001720834,0.0002838903,0.0002658925,0.00009446581,0.0002719556,0.0000391479,0.0001771353,0.00094953,0.00003427776],"category_scores_gemma":[0.00003752643,0.0002615955,0.00005476376,0.00015784,0.0004075508,0.0000156295,0.0001178474,0.0002209714,0.00001330206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002614376,"about_ca_system_score_gemma":0.00002339502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006854724,"about_ca_topic_score_gemma":0.00002438866,"domain_scores_codex":[0.9983159,0.00002987138,0.0003204393,0.0008792207,0.00002798,0.0004265598],"domain_scores_gemma":[0.9993364,0.000006545832,0.0002031066,0.0003379203,0.00007306039,0.0000430035],"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":[0.00008732802,0.00008860037,0.000101061,0.00005111562,0.00004487724,4.017948e-7,0.00007174382,0.000002230295,0.9703169,0.0005617402,0.003524937,0.02514899],"study_design_scores_gemma":[0.0006213759,0.0002795933,0.00003279186,0.000007651477,0.00003061579,0.0001464294,0.0004446391,0.00001689881,0.8995014,0.0002588991,0.09831932,0.0003403226],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835891,0.002387273,0.007338246,0.005041845,0.0006499537,0.0006014216,0.00004919597,0.0001583122,0.0001846227],"genre_scores_gemma":[0.9951943,0.0007213692,0.0009049378,0.0004766884,0.000213028,0.000107903,0.0006911776,0.00003554952,0.001655098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09479438,"threshold_uncertainty_score":0.9999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006372407183782178,"score_gpt":0.1959875019734252,"score_spread":0.189615094789643,"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."}}