{"id":"W2376620317","doi":"","title":"Intelligent Control of the Fermentation Process","year":2000,"lang":"en","type":"article","venue":"Wuxi Qinggong Daxue xuebao","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Bioprocess; Process (computing); Advanced process control; Control system; Bioprocess engineering; Process control; Supervisory control; Process engineering; Control (management); Control engineering; Computer science; Fermentation; Monitoring and control; Engineering; Manufacturing engineering; Biochemical engineering; Artificial intelligence; Food science; Chemistry","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":[0.0002910671,0.0004897136,0.000409264,0.0002694522,0.0003970827,0.0009080151,0.0005527359,0.0003944036,0.0008704325],"category_scores_gemma":[0.0004685321,0.0001294595,0.0002488025,0.0001682262,0.0004568203,0.0003804541,0.000422257,0.0004568948,0.0002867412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378309,"about_ca_system_score_gemma":0.0004826298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001706882,"about_ca_topic_score_gemma":0.001143809,"domain_scores_codex":[0.9997196,0.00003389651,0.00001567534,0.0001013253,0.00009662657,0.00003278414],"domain_scores_gemma":[0.9997699,0.00005950674,0.00004595273,0.00003453787,0.00007012904,0.00001997389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004877486,0.0002826675,0.002180876,0.0004171511,0.0000649009,0.0004532743,0.000390485,0.2123553,0.3643418,0.01402677,0.002569968,0.402429],"study_design_scores_gemma":[0.0001120631,0.0004078842,0.002471677,0.00002877213,0.00005818851,0.0002487733,0.00004068921,0.9057341,0.06950535,0.004603071,0.01674934,0.0000399543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03881511,0.0006408625,0.9510822,0.0001683976,0.0001090976,0.00008411676,0.00004526603,0.002287337,0.00676766],"genre_scores_gemma":[0.930948,0.000353832,0.0652535,0.00007088346,0.00007136946,0.00009969475,0.00007934075,0.0000377764,0.003085525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001706882,"threshold_uncertainty_score":0.003393948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00384336920793077,"score_gpt":0.2187581559406288,"score_spread":0.214914786732698,"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."}}