{"id":"W2983423325","doi":"10.1016/j.btre.2019.e00397","title":"The current strategies and parameters for the enhanced microbial production of 2,3-butanediol","year":2019,"lang":"en","type":"article","venue":"Biotechnology Reports","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"2,3-Butanediol; Production (economics); Biochemical engineering; Rendering (computer graphics); Fermentation; Metabolic engineering; Biotechnology; Industrial microbiology; Pulp and paper industry; Chemistry; Food science; Computer science; Biochemistry; Biology; Engineering; Enzyme; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002454025,0.00008508992,0.00009445476,0.0000207559,0.0000772,0.00001480697,0.00007565553,0.0001244868,3.615853e-7],"category_scores_gemma":[0.000147281,0.0000501412,0.00004285178,0.0000589993,0.0001812448,0.000003396726,0.00004145365,0.00008654701,3.638212e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003703472,"about_ca_system_score_gemma":0.00003609244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004941367,"about_ca_topic_score_gemma":0.00000743349,"domain_scores_codex":[0.9993807,0.00001026967,0.0001845934,0.0002617397,0.00003600264,0.0001266806],"domain_scores_gemma":[0.999391,0.000006984508,0.0001399111,0.0003983007,0.00005466385,0.000009140371],"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":[0.0000326264,0.00000885899,0.00003445309,0.0000236844,0.00003044415,1.14893e-7,0.000009339605,0.00007276574,0.9575726,0.0001268609,0.000306374,0.04178184],"study_design_scores_gemma":[0.00006081243,0.00009769945,0.0002189614,0.000008569667,0.00001684342,0.00007721879,0.00007445393,0.000005976631,0.9068606,0.0000955097,0.09242194,0.00006141359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903832,0.004032364,0.001793262,0.0007129422,0.002543017,0.0005066437,0.000001910504,0.00001979283,0.000006889592],"genre_scores_gemma":[0.9978153,0.001465707,0.0003542598,0.000005504725,0.0001536824,0.00002999311,0.000008719027,0.000007754737,0.000159135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09211557,"threshold_uncertainty_score":0.2044699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00502323605105069,"score_gpt":0.2213466390075651,"score_spread":0.2163234029565144,"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."}}