{"id":"W2752809309","doi":"10.1021/acs.jafc.7b03225","title":"Quantitating Organoleptic Volatile Phenols in Smoke-Exposed <i>Vitis vinifera</i> Berries","year":2017,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Guaiacol; Chemistry; Phenols; Wine; Chromatography; Smoke; Organoleptic; Gas chromatography; Vitis vinifera; Food science; Gas chromatography–mass spectrometry; Mass spectrometry; Organic chemistry; Botany; Enzyme; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003752302,0.0002884216,0.0002148779,0.0002638932,0.0002119876,0.000637832,0.0001811994,0.0002605332,0.0004608543],"category_scores_gemma":[0.000361282,0.0001529065,0.0001914286,0.0001571234,0.0002048406,0.0003183523,0.0002249869,0.0004920107,0.0002611856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004046454,"about_ca_system_score_gemma":0.0002776561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001712637,"about_ca_topic_score_gemma":0.00361954,"domain_scores_codex":[0.9997647,0.00002977193,0.00001319626,0.00007744288,0.00008716925,0.00002766277],"domain_scores_gemma":[0.9998071,0.00003623869,0.00005895841,0.00001893857,0.00005752846,0.00002120558],"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":[0.00004176177,0.00001191694,0.002825336,0.00002398453,0.000007678532,0.00001173526,0.00003951406,0.00009175115,0.994524,0.00002047097,0.00001897897,0.002382809],"study_design_scores_gemma":[0.000003167145,0.0001649433,0.03246787,0.000009920021,0.00001817941,0.00007340172,0.00009238293,0.001731659,0.9647813,0.00005294586,0.0005953849,0.00000872232],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779635,0.0005179624,0.01989455,0.0000571802,0.00001495339,0.00006098428,0.0005007762,0.0001779254,0.0008121167],"genre_scores_gemma":[0.9704982,0.001122518,0.02494688,0.0001553808,0.00001040828,0.00006192391,0.001026792,0.00008689323,0.002091005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001712637,"threshold_uncertainty_score":0.003405333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02620914866116393,"score_gpt":0.2281910492816838,"score_spread":0.2019819006205199,"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."}}