{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003616657,0.0006213739,0.0006302092,0.0003328314,0.0001250289,0.0008437507,0.0007383276,0.0004818189,0.001102553],"category_scores_gemma":[0.0003598025,0.0003589535,0.0003286219,0.0005150587,0.0002509122,0.0004643049,0.0005983385,0.001011302,0.001250891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002525701,"about_ca_system_score_gemma":0.0002013456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004707847,"about_ca_topic_score_gemma":0.0006485482,"domain_scores_codex":[0.9994926,0.0001244453,0.0000500364,0.00007371425,0.0002008269,0.00005822387],"domain_scores_gemma":[0.9998209,0.00004550882,0.00002518421,0.00003676932,0.00004235749,0.00002938834],"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":[0.00002722401,0.00001556156,0.00005028821,0.00004767844,0.000006055485,0.00001904436,0.00001082034,0.00006701281,0.9979303,0.00008136367,0.00003427919,0.001710283],"study_design_scores_gemma":[0.000009449795,0.00006726836,0.0002010683,0.000004403162,0.00001445874,0.00004700197,0.000008375248,0.0004640178,0.9966959,0.00003310511,0.002450445,0.000004380763],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791238,0.01101834,0.1012172,0.0004550313,0.0003683622,0.0002182232,0.002219079,0.0008898352,0.00449012],"genre_scores_gemma":[0.9249419,0.005952944,0.05400525,0.0001225458,0.00005534637,0.000116872,0.004271329,0.0002937973,0.01023999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001102553,"threshold_uncertainty_score":0.003688455,"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."}}