{"id":"W4413889968","doi":"10.1016/j.compchemeng.2025.109386","title":"Dynamic scheduling and control of a single column chromatography process for integrated continuous bioprocessing","year":2025,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Bioprocess; Scheduling (production processes); Process control; Process engineering; Process (computing); Chromatography; Computer science; Column (typography); Chemistry; Engineering; Chemical engineering; Operations management; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004422738,0.0001391862,0.0002005115,0.00006841895,0.00003758569,0.00002854328,0.0001029292,0.0001079519,5.226249e-7],"category_scores_gemma":[0.000082622,0.0001419804,0.00008729458,0.0001482137,0.00005378612,0.000004928166,0.0000445197,0.0000571276,5.364867e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001106448,"about_ca_system_score_gemma":0.00003563434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002629155,"about_ca_topic_score_gemma":2.647886e-7,"domain_scores_codex":[0.9993134,0.000004213124,0.0001978217,0.0002513314,0.00004606986,0.0001871347],"domain_scores_gemma":[0.9996352,0.00002608065,0.00005825628,0.0001101268,0.0001080795,0.00006226085],"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":[0.00005861156,0.00005403555,0.0003973927,0.0003048749,0.0000800331,3.832275e-7,0.00001450293,0.00416672,0.9936947,0.00002132522,0.00005594613,0.001151445],"study_design_scores_gemma":[0.001302342,0.0001295242,0.00007708217,0.0003262348,0.00004090468,0.000005470649,0.00003024239,0.1728062,0.8245723,0.00007356869,0.0004459088,0.0001902008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6420708,0.00146424,0.3561493,0.00001634953,0.0001102555,0.0001374317,0.00001077548,0.0000288131,0.00001204956],"genre_scores_gemma":[0.9941007,0.00001047836,0.005679606,0.00007945485,0.00003174754,0.00003971199,0.00003619911,0.00001565282,0.000006448428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3520299,"threshold_uncertainty_score":0.5789791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003265100893587398,"score_gpt":0.2258905054691315,"score_spread":0.2226254045755441,"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."}}