{"id":"W2348529130","doi":"","title":"Optimization of Chromatographic Separation Operation for Xylose and Xylitol","year":2002,"lang":"en","type":"article","venue":"","topic":"Protein purification and stability","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Xylitol; Xylose; Chromatography; Chemistry; Chromatographic separation; Volumetric flow rate; Inlet; Simulated moving bed; Process engineering; Engineering; Mechanics; Organic chemistry; Mechanical engineering; High-performance liquid chromatography; Physics","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":[0.0004797326,0.0007343216,0.0005325259,0.0004082764,0.000338354,0.0006961159,0.0005090827,0.0003466941,0.0007431637],"category_scores_gemma":[0.0006313472,0.0002642336,0.0002087191,0.0004069508,0.0002299358,0.0003956323,0.0003037123,0.0003348154,0.0005514317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004841475,"about_ca_system_score_gemma":0.0006292121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001835406,"about_ca_topic_score_gemma":0.00154602,"domain_scores_codex":[0.9997473,0.00003910092,0.0000199776,0.00006332873,0.00008127158,0.00004888977],"domain_scores_gemma":[0.9998599,0.00003878207,0.00002097911,0.00001451051,0.00004535929,0.00002034332],"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":[0.000420477,0.0001456009,0.0009066989,0.0001701116,0.00002181246,0.00006870614,0.00005492907,0.004629618,0.983566,0.0002304527,0.0001380918,0.009647609],"study_design_scores_gemma":[0.00002899891,0.0001920796,0.001666148,0.000005019418,0.00002418767,0.00005646484,0.00002622918,0.01666083,0.9803044,0.0000601318,0.0009620363,0.00001347039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766092,0.0006894509,0.02121883,0.00008910794,0.00001761354,0.0000609187,0.0002293929,0.0002988318,0.0007866122],"genre_scores_gemma":[0.9785721,0.0004929622,0.01965568,0.00001999098,0.000004886727,0.00006135039,0.0004284564,0.00006445165,0.0007000211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001835406,"threshold_uncertainty_score":0.003649473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01448057658198635,"score_gpt":0.26406599040976,"score_spread":0.2495854138277736,"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."}}