{"id":"W2090673341","doi":"10.1002/cjce.20485","title":"Theoritical analysis and simulation of five‐zone simulating moving bed for ternary mixture separation","year":2011,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Korea University","keywords":"Simulated moving bed; Ternary operation; Volumetric flow rate; Chromatography; Chemistry; Mass transfer; Separation (statistics); Flow (mathematics); Dispersion (optics); Mechanics; Analytical Chemistry (journal); Adsorption; Mathematics; Statistics; Physics; Computer science; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002453492,0.00005447697,0.0001060266,0.00005044329,0.00002901215,0.000008478706,0.00008229378,0.00006700902,0.000005779797],"category_scores_gemma":[0.0003882065,0.00004385573,0.00007580811,0.00007543129,0.00004000271,0.000005694412,0.000007396445,0.00006993477,2.887027e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001557845,"about_ca_system_score_gemma":0.00005639941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009874166,"about_ca_topic_score_gemma":0.00006127638,"domain_scores_codex":[0.9995809,0.00001361224,0.000199362,0.00006665183,0.00004929872,0.00009013496],"domain_scores_gemma":[0.9995555,0.00005040423,0.00007627706,0.00009364833,0.000122216,0.0001019345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009339579,0.00001315836,0.002160668,0.00004631755,0.0002707109,0.00000136348,0.0005652506,0.2025754,0.792181,0.0004368302,0.000004115283,0.001651871],"study_design_scores_gemma":[0.0002967964,0.00006198349,0.001813919,0.00001735688,0.0001564325,0.000007742738,0.00002468691,0.5218147,0.4752895,0.0002773452,0.0001383024,0.0001012534],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.873361,0.0002762357,0.1261991,0.00005109599,0.00002066626,0.0000650916,0.000009575075,0.000001308903,0.00001595976],"genre_scores_gemma":[0.9968576,9.810897e-7,0.003037483,0.00001743,0.00006605941,0.000001641442,0.000008143521,0.000005200833,0.00000539106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3192393,"threshold_uncertainty_score":0.1788385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009268886239859445,"score_gpt":0.2381788431948415,"score_spread":0.2289099569549821,"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."}}