{"id":"W4225012126","doi":"10.1093/femsyr/foac022","title":"Directed evolution as an approach to increase fructose utilization in synthetic grape juice by wine yeast AWRI 796","year":2022,"lang":"en","type":"article","venue":"FEMS Yeast Research","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Genome British Columbia; University of British Columbia","funders":"Australian Research Council; University of Adelaide; Australian Government; Wine Australia; Howard Hughes Medical Institute; Alberta Water Research Institute; National Institutes of Health; National Science Foundation","keywords":"Yeast in winemaking; Fermentation; Biology; Winemaking; Yeast; Fermentation in winemaking; Wine; Food science; Fructose; Biotechnology; Genetics; Saccharomyces cerevisiae","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":[0.0002779644,0.0005394478,0.0003728024,0.0003062655,0.0001537636,0.0004971576,0.0004740479,0.0003890674,0.0006228553],"category_scores_gemma":[0.0003234531,0.0001852727,0.0004417702,0.0003299369,0.0001821973,0.0001509927,0.0006016822,0.0006333044,0.0002520764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003207622,"about_ca_system_score_gemma":0.0002485363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000983211,"about_ca_topic_score_gemma":0.00137783,"domain_scores_codex":[0.9997168,0.00005336853,0.00003241256,0.0000497429,0.0001109276,0.00003663239],"domain_scores_gemma":[0.9998964,0.0000222397,0.00003154524,0.00001282491,0.00001769357,0.00001927272],"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":[0.00005506611,0.00004605766,0.0001965878,0.00002618247,0.0000112189,0.00006854552,0.00001990171,0.0004588705,0.9960276,0.00008527635,0.00001834558,0.002986414],"study_design_scores_gemma":[0.00002787095,0.0006607157,0.002286355,0.00001315165,0.00003887861,0.0003845929,0.00006884563,0.004658788,0.9877609,0.00007138871,0.004008935,0.00001945996],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984899,0.0003408216,0.01269246,0.0001008203,0.00002500309,0.0001516461,0.0003326624,0.0001511682,0.001306355],"genre_scores_gemma":[0.9502182,0.000740422,0.04428246,0.0000845909,0.000008623343,0.0001129876,0.001147844,0.0001233434,0.003281425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000983211,"threshold_uncertainty_score":0.002327323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07862928928923485,"score_gpt":0.3239587046095229,"score_spread":0.2453294153202881,"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."}}