{"id":"W2117659771","doi":"10.1021/jf2028208","title":"Investigation of the Volatile Composition of Pinotage Wines Fermented with Different Malolactic Starter Cultures Using Comprehensive Two-Dimensional Gas Chromatography Coupled to Time-of-Flight Mass Spectrometry (GC×GC-TOF-MS)","year":2011,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Malolactic fermentation; Oenococcus oeni; Chemistry; Starter; Wine; Chromatography; Mass spectrometry; Fermentation; Gas chromatography–mass spectrometry; Gas chromatography; Food science; Solid-phase microextraction; Time-of-flight mass spectrometry; Bacteria; Lactic acid; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00004538683,0.0001626377,0.0003465474,0.00002280661,0.00009521163,0.00001613043,0.0001275801,0.00005502099,0.0001667221],"category_scores_gemma":[0.000004807902,0.00004989632,0.0001802167,0.0003757203,0.0001196354,0.0001185156,0.00003034662,0.0001120137,2.329259e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001996632,"about_ca_system_score_gemma":0.00000685251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002656229,"about_ca_topic_score_gemma":0.000006669977,"domain_scores_codex":[0.9989131,0.00005357502,0.0004500932,0.0001280586,0.0003411979,0.0001139431],"domain_scores_gemma":[0.9987521,0.00004610405,0.0006858603,0.0000429208,0.000374092,0.00009898916],"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":[0.0001567821,0.00008087712,0.01917682,0.00004833703,0.0002004124,7.779751e-7,0.000293555,0.00008606833,0.9799002,0.000002163027,0.00004435205,0.000009644543],"study_design_scores_gemma":[0.0002718047,0.0002868217,0.429665,0.000119378,0.000124518,0.0000462376,0.0005926874,0.00008115981,0.5687064,0.00002817935,7.079567e-7,0.00007705675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995438,0.00008055646,0.000002914943,0.0001794164,0.00002393998,0.0001036997,0.00003059762,0.000004386698,0.00003069142],"genre_scores_gemma":[0.9994394,0.000007849751,0.0003990603,0.00003883801,0.00005889208,8.406816e-7,0.00003072791,0.000001045557,0.00002337409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4111938,"threshold_uncertainty_score":0.2034713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01835851596502856,"score_gpt":0.2032118595876168,"score_spread":0.1848533436225882,"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."}}