{"id":"W2104158570","doi":"10.1071/ch09112","title":"Immobilized Whole Cells as Effective Catalysts for Chiral Alcohol Production","year":2009,"lang":"en","type":"article","venue":"Australian Journal of Chemistry","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia","keywords":"Biocatalysis; Chemistry; Catalysis; Alcohol dehydrogenase; Enantiomeric excess; Continuous stirred-tank reactor; Bioreactor; Escherichia coli; Batch reactor; Fermentation; Alcohol; Chromatography; Organic chemistry; Enantioselective synthesis; Biochemistry; Reaction mechanism","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0002646765,0.0001564012,0.0002001466,0.00002617359,0.00004293445,0.00002360095,0.0001461622,0.0001438574,0.000006616167],"category_scores_gemma":[0.0001502947,0.0001411913,0.0001916015,0.0000761503,0.00003618334,0.000009874945,0.000009145782,0.0001445076,0.000003463857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002089812,"about_ca_system_score_gemma":0.00005102492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000125111,"about_ca_topic_score_gemma":1.020175e-7,"domain_scores_codex":[0.999168,0.00001577104,0.0002911053,0.000226991,0.0001007616,0.0001973278],"domain_scores_gemma":[0.9992797,0.000002363557,0.000219949,0.0002054171,0.0001972996,0.00009523372],"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":[0.0002277884,0.00007505735,0.000008380889,0.00004552621,0.00006178958,0.000002440649,0.00002460402,0.0002486681,0.9824576,8.132359e-7,0.01431679,0.0025305],"study_design_scores_gemma":[0.0007106065,0.0003424239,0.0001865366,0.00004037485,0.00006046403,0.0003364045,0.00003068147,3.500768e-7,0.9652119,0.00005133725,0.03287799,0.0001509298],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980464,0.0002321446,0.0001090997,0.000712797,0.000525069,0.000209191,0.00001081458,0.000008231383,0.0001462748],"genre_scores_gemma":[0.9892322,0.00003134045,0.0008360327,0.00003459196,0.002041653,0.000005971547,0.00004423282,0.00001347496,0.00776046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0185612,"threshold_uncertainty_score":0.5757614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006386352319595257,"score_gpt":0.2560327837959047,"score_spread":0.2496464314763094,"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."}}