{"id":"W7081995604","doi":"10.1016/j.biombioe.2025.108374","title":"Adaptive laboratory evolution (ALE) as a tool to ameliorate xylose consumption in Rhodosporidium toruloides-1588","year":2025,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; York University","funders":"Natural Sciences and Engineering Research Council of Canada; York University","keywords":"Xylose; Oleic acid; Sugar; Hydrolysate; Xylose metabolism; Yeast; Ethanol fuel","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003361031,0.0006002345,0.0004877346,0.0002343931,0.0002024263,0.0005028265,0.0005205991,0.0003409705,0.0005579115],"category_scores_gemma":[0.0004517807,0.0001136446,0.0004021109,0.0002340528,0.0001470932,0.0001889858,0.0007209291,0.0006622422,0.0002407684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235761,"about_ca_system_score_gemma":0.0002998201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135651,"about_ca_topic_score_gemma":0.001324757,"domain_scores_codex":[0.99983,0.00003011921,0.00002188077,0.00004265082,0.00004419219,0.0000310463],"domain_scores_gemma":[0.9999062,0.00001673521,0.00002643969,0.00001165579,0.00001775504,0.0000211785],"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":[0.0001979214,0.0001644787,0.001262869,0.0001264817,0.00002695531,0.0004221769,0.00009636788,0.0008941096,0.9821349,0.0002324898,0.0001604286,0.01428078],"study_design_scores_gemma":[0.0001359558,0.003078887,0.01805589,0.0001014158,0.0001852709,0.001712157,0.0005824649,0.01643536,0.9443032,0.0002976624,0.01502236,0.00008927744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898649,0.0007002994,0.00615157,0.0002184141,0.00005521198,0.0001079847,0.0003906614,0.0002445806,0.002266425],"genre_scores_gemma":[0.9812337,0.0005988127,0.01234666,0.0001559789,0.000009695035,0.000150815,0.001112787,0.0001064223,0.004285137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135651,"threshold_uncertainty_score":0.002258062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158531161531944,"score_gpt":0.2352381134745437,"score_spread":0.2236528018592243,"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."}}