{"id":"W2074295725","doi":"10.1111/j.1567-1364.2012.00808.x","title":"Evolutionary engineering of Saccharomyces cerevisiae for efficient aerobic xylose consumption","year":2012,"lang":"en","type":"article","venue":"FEMS Yeast Research","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation Chalmers; Knut och Alice Wallenbergs Stiftelse","keywords":"Xylose; Xylose metabolism; Saccharomyces cerevisiae; Metabolic engineering; Yeast; Xylitol; Biochemistry; Biology; Pichia stipitis; Pentose; Biomass (ecology); Ethanol fuel; Fermentation; Biotechnology; Food science; Enzyme","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":[0.0006949537,0.00008630279,0.0001069944,0.0002221109,0.00006540791,0.00001185174,0.0001079757,0.00009101964,0.000179717],"category_scores_gemma":[0.0000526533,0.00008229805,0.00005424687,0.0002065934,0.00005632209,0.00009228141,0.00004266798,0.0002012837,0.0001749778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001016206,"about_ca_system_score_gemma":0.00001456361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006945493,"about_ca_topic_score_gemma":1.687153e-7,"domain_scores_codex":[0.9990056,0.00002771094,0.00015473,0.0001233717,0.0003020148,0.0003866058],"domain_scores_gemma":[0.9995289,0.00005312725,0.00001560178,0.0001690199,0.0001267964,0.0001065593],"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":[0.0001423173,0.000377663,0.009258058,0.005411573,0.000128658,0.000001010019,0.0009047163,0.01539697,0.9239596,0.002556436,0.03085939,0.01100361],"study_design_scores_gemma":[0.001981942,0.0002304602,0.08452102,0.0004470909,0.00003993354,0.00005141469,0.0006123047,0.2497578,0.3746536,0.00006437219,0.2868376,0.0008024009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909698,0.004819714,0.002066879,0.0001077414,0.0009037564,0.0005877562,0.00003157683,0.0001637075,0.0003490551],"genre_scores_gemma":[0.9982719,0.0001197021,0.001017259,0.000001989783,0.000349431,0.00003952587,0.00002004683,0.00001966796,0.0001605094],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.549306,"threshold_uncertainty_score":0.3356017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05572779994812535,"score_gpt":0.3044128022149751,"score_spread":0.2486850022668497,"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."}}