{"id":"W2146549342","doi":"10.1111/1567-1364.12053","title":"Functional improvement of<i>Saccharomyces cerevisiae</i>to reduce volatile acidity in wine","year":2013,"lang":"en","type":"article","venue":"FEMS Yeast Research","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Genome British Columbia; Genome Canada","keywords":"Wine; Acetic acid; Acetaldehyde; Yeast in winemaking; Wine fault; Fermentation in winemaking; Aldehyde dehydrogenase; Yeast; Biochemistry; Saccharomyces cerevisiae; Fermentation; Biology; Malolactic fermentation; Food science; Aging of wine; Ethanol; Enzyme; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005215775,0.00007113149,0.0001328755,0.00005822567,0.0001050961,0.00005424825,0.0001789776,0.00004202445,0.009806173],"category_scores_gemma":[0.00008446889,0.00002982519,0.00005662632,0.0008573776,0.0000524559,0.0001272166,0.00009042874,0.0001487728,0.0006231895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004071809,"about_ca_system_score_gemma":0.00001362774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311739,"about_ca_topic_score_gemma":0.0004060394,"domain_scores_codex":[0.9986545,0.0001132337,0.0002191513,0.0002395392,0.000503345,0.0002702542],"domain_scores_gemma":[0.999449,0.000103626,0.00003381202,0.00006538815,0.000224806,0.0001233743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00002903589,0.00009766489,0.007011995,0.000005973083,0.000007871565,6.845044e-7,0.00007127208,0.00001564348,0.941465,0.00004426045,0.008418645,0.04283197],"study_design_scores_gemma":[0.0001798123,0.0002772654,0.9234965,0.00002149466,0.000002638282,9.100103e-7,0.001275529,0.0003428398,0.06705086,0.0004785938,0.00676044,0.0001131222],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938378,0.00002008237,0.000002001832,0.004363545,0.0000403654,0.0003172437,0.00001835529,0.00001060155,0.001389947],"genre_scores_gemma":[0.9964059,0.000009531296,0.00003984753,0.00008084441,0.0001825013,0.00006325272,0.0000437393,6.509059e-7,0.003173753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9164845,"threshold_uncertainty_score":0.991099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09181934829047476,"score_gpt":0.3228927631713268,"score_spread":0.231073414880852,"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."}}