{"id":"W4393309674","doi":"10.1016/b978-0-443-15437-9.00008-2","title":"Enzyme separation and preparation: Traditional to advanced methods","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Enzyme Catalysis and Immobilization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Separation (statistics); Chemistry; Chromatography; Computer science","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":[0.0006631052,0.00142356,0.001124151,0.001752243,0.0003636684,0.001748652,0.001375779,0.001083354,0.01244862],"category_scores_gemma":[0.0003782358,0.0009613169,0.0004744498,0.001881959,0.001338296,0.00349659,0.001237745,0.003372972,0.02105209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008646803,"about_ca_system_score_gemma":0.0006569273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000627903,"about_ca_topic_score_gemma":0.001267702,"domain_scores_codex":[0.9995059,0.00002683108,0.000032314,0.0001030292,0.0003049359,0.00002708379],"domain_scores_gemma":[0.9998419,0.00006041775,0.0000114137,0.00002650821,0.00004180388,0.00001781307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001056547,0.0001706996,0.0001578254,0.002915824,0.00002932531,0.0002721422,0.0002613352,0.0005411708,0.1059734,0.03342393,0.06618745,0.7899613],"study_design_scores_gemma":[0.00001519014,0.0000770098,0.0005172016,0.0004113316,0.00002397686,0.0009244645,0.00005480774,0.0006253707,0.03909239,0.01441514,0.9438131,0.00003009223],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004784142,0.6142861,0.2342474,0.00385377,0.006510073,0.0001862146,0.0005596555,0.001816074,0.1337566],"genre_scores_gemma":[0.01180546,0.4834909,0.1116094,0.002449136,0.001780301,0.000234024,0.001176101,0.0006591041,0.3867956],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01244862,"threshold_uncertainty_score":0.04164475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02035888028824023,"score_gpt":0.3206149115598481,"score_spread":0.3002560312716079,"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."}}