{"id":"W2136256553","doi":"10.1021/jf305025j","title":"Assessing the Impact of Smoke Exposure in Grapes: Development and Validation of a HPLC-MS/MS Method for the Quantitative Analysis of Smoke-Derived Phenolic Glycosides in Grapes and Wine","year":2012,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Water Research Institute","keywords":"Wine; Smoke; Chemistry; Glycoside; Chromatography; Food science; Phenols; High-performance liquid chromatography; Organic chemistry","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":[0.0004830102,0.0001079362,0.000356363,0.00003249585,0.00007284248,0.00003175098,0.00007890786,0.00006298512,0.00001307509],"category_scores_gemma":[0.00006701465,0.00002977843,0.0001558693,0.0005395013,0.00007333883,0.000206492,0.00002116191,0.00009915728,5.123561e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001538073,"about_ca_system_score_gemma":0.000007692841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001699617,"about_ca_topic_score_gemma":0.00009223422,"domain_scores_codex":[0.9990962,0.00008246129,0.0004835141,0.00008651867,0.0001424744,0.0001087992],"domain_scores_gemma":[0.9987282,0.0005044892,0.0005538604,0.00002284317,0.000147363,0.00004320823],"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":[0.00005669816,0.00009823746,0.1275763,0.00003362618,0.0007272568,1.119859e-7,0.002918495,0.0002592902,0.865449,0.000009774171,0.000002982607,0.002868273],"study_design_scores_gemma":[0.0002282255,0.0001458016,0.8078675,0.00003767838,0.0002591969,0.000006845059,0.01317914,0.000105645,0.1780797,0.00003120554,0.000002653469,0.00005637547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985715,0.001062664,0.00001285728,0.0002443849,0.000006349781,0.00007490216,0.00001346052,0.000001084665,0.00001279349],"genre_scores_gemma":[0.9991693,0.0001810526,0.0005914083,0.000008972367,0.00002716864,0.000003024354,0.00001418746,4.940656e-7,0.000004316634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6873692,"threshold_uncertainty_score":0.1214329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06109771796478142,"score_gpt":0.3271888030330264,"score_spread":0.266091085068245,"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."}}