{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001482935,0.0006395582,0.0002983863,0.0005806853,0.0002016186,0.0004608767,0.0001344582,0.0002425784,0.000461048],"category_scores_gemma":[0.0002178286,0.0001750622,0.0003092133,0.0004225026,0.0002016196,0.0002452836,0.0003478014,0.0002857747,0.00006797309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000168036,"about_ca_system_score_gemma":0.0001509865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001206948,"about_ca_topic_score_gemma":0.001583148,"domain_scores_codex":[0.9998696,0.00001784834,0.00001049013,0.00003860145,0.0000364256,0.00002696561],"domain_scores_gemma":[0.9999025,0.00002824265,0.00001809501,0.000006293972,0.00002097277,0.00002382644],"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":[0.0001084638,0.00001123272,0.0006719999,0.00001803764,0.000007959618,0.00002124126,0.00002179626,0.00002747033,0.998268,0.000005751042,0.000002716556,0.0008353509],"study_design_scores_gemma":[0.000009489107,0.000612711,0.078849,0.000008126935,0.0000536522,0.0001574877,0.0001191456,0.0006184988,0.9190571,0.00002826668,0.0004726782,0.00001375034],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980795,0.0002923843,0.001041444,0.0000113303,0.000006791756,0.00001793773,0.0003247146,0.0000136726,0.0002122357],"genre_scores_gemma":[0.9935476,0.0005304041,0.003488082,0.00003354459,0.000007951703,0.00004819478,0.00137484,0.00001908581,0.0009502179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001206948,"threshold_uncertainty_score":0.002399802,"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."}}