{"id":"W2072065857","doi":"10.1007/s00253-011-3197-3","title":"Impacts of variations in elemental nutrient concentration of Chardonnay musts on Saccharomyces cerevisiae fermentation kinetics and wine composition","year":2011,"lang":"en","type":"article","venue":"Applied Microbiology and Biotechnology","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Australian Government; Alberta Water Research Institute","keywords":"Winemaking; Wine; Fermentation; Food science; Chemistry; Fermentation in winemaking; Composition (language); Yeast in winemaking; Vintage; Yeast; Ethanol fermentation; Malolactic fermentation; Saccharomyces cerevisiae; Biochemistry; Biology; Bacteria","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":[0.00007754655,0.00008559122,0.0001795525,0.00004695986,0.00003780433,0.00000277628,0.00005085818,0.0001787627,0.00007534598],"category_scores_gemma":[0.000004263235,0.00004486247,0.0000194527,0.0001801209,0.0002311284,0.00002462131,0.00002476009,0.00006632676,0.000001571854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001219456,"about_ca_system_score_gemma":0.000002144044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004035397,"about_ca_topic_score_gemma":0.0000970564,"domain_scores_codex":[0.9993889,0.0000399193,0.000262877,0.0001762758,0.0000233799,0.0001086189],"domain_scores_gemma":[0.9997311,0.00003388846,0.0001639198,0.00003324556,0.00001917697,0.00001871604],"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":[0.0001048264,0.000175395,0.004840544,0.000009795721,0.00001963818,3.796543e-7,0.0002560156,4.575577e-7,0.9757411,0.0159238,0.000005773032,0.002922229],"study_design_scores_gemma":[0.000457124,0.000502582,0.1232561,0.0000133249,0.00002250081,0.000005610953,0.0006209105,0.00001400892,0.8745824,0.0003988974,0.0000543788,0.00007218208],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989616,0.00004054257,0.00002629573,0.0005860566,0.00001675756,0.0002161895,0.00004876782,0.0000121932,0.00009161342],"genre_scores_gemma":[0.9992219,0.0002273457,0.000190084,0.0001123432,0.000008807574,0.000005577559,0.0002312906,5.562427e-7,0.000002086854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184155,"threshold_uncertainty_score":0.1829439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0133843035303922,"score_gpt":0.2066074790001403,"score_spread":0.1932231754697481,"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."}}