{"id":"W2004194037","doi":"10.1016/j.ymben.2014.05.001","title":"Two-stage transcriptional reprogramming in Saccharomyces cerevisiae for optimizing ethanol production from xylose","year":2014,"lang":"en","type":"article","venue":"Metabolic Engineering","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Capital Normal University","keywords":"Xylose; Saccharomyces cerevisiae; Ethanol fuel; Reprogramming; Production (economics); Ethanol; Yeast; Chemistry; Fed-batch culture; Biochemistry; Fermentation; Gene; Economics; Microeconomics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004470943,0.0002404057,0.0002968235,0.0002467511,0.00004948789,0.00005224211,0.0001362621,0.0001053827,0.00004470603],"category_scores_gemma":[0.00008661574,0.0002557368,0.0001106325,0.0002827101,0.00001541006,0.0002974382,0.00001540926,0.0002452485,0.00001310144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000466693,"about_ca_system_score_gemma":0.000006780589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004277804,"about_ca_topic_score_gemma":0.00000546818,"domain_scores_codex":[0.9987228,0.00002301214,0.0003382212,0.0004095427,0.0001544748,0.0003519381],"domain_scores_gemma":[0.9995438,0.00003609793,0.00003474328,0.0002738126,0.00003354495,0.00007804041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002144858,0.00003423748,0.0002857549,0.0004221234,0.00006264058,9.416099e-7,0.0004915797,0.3224032,0.6440396,0.001007641,0.00006576933,0.03116503],"study_design_scores_gemma":[0.001454923,0.00002660548,0.002280031,0.0001440972,0.00005782087,0.000006212764,0.0001591318,0.3832366,0.3206277,0.00008477792,0.2912587,0.0006633736],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.778603,0.007335423,0.2059888,0.000510455,0.004703385,0.001067235,0.00003571933,0.00146607,0.0002899015],"genre_scores_gemma":[0.9394665,0.0002685885,0.05876857,0.00002513193,0.001122982,0.0001255791,0.00005249488,0.00006756629,0.00010252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3234119,"threshold_uncertainty_score":0.9999895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01393181421194961,"score_gpt":0.2213966285844171,"score_spread":0.2074648143724675,"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."}}