{"id":"W4296249377","doi":"10.20870/oeno-one.2022.56.3.4873","title":"Thiol precursors and amino acids profile of white interspecific hybrid <i>Vitis</i> varieties and impact of foliar urea and sulfur supplementation on the concentration of thiol precursors in <i>Vitis</i> sp. Vidal berries","year":2022,"lang":"en","type":"article","venue":"OENO One","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec en Outaouais; Centrale des Syndicats du Québec; Université de Montréal; Espace pour la vie; Université du Québec à Montréal; Université Sainte-Anne","funders":"Agriculture and Agri-Food Canada; Centre National de la Recherche Scientifique; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Thiol; Glutathione; Chemistry; Amino acid; Methionine; Cysteine; Berry; Urea; Biochemistry; Food science; Horticulture; Biology; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001385782,0.0003764911,0.0003660408,0.0006350257,0.000376846,0.0005585124,0.0001762773,0.0002319149,0.0005891703],"category_scores_gemma":[0.0001548093,0.0001328888,0.0002356201,0.0004562574,0.0002783567,0.0001682127,0.0001492062,0.0003524539,0.0001205843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370762,"about_ca_system_score_gemma":0.0003700465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03264592,"about_ca_topic_score_gemma":0.08017366,"domain_scores_codex":[0.9998385,0.00001326499,0.0000107741,0.00008187335,0.00003454788,0.00002108692],"domain_scores_gemma":[0.9997949,0.00001873085,0.00004861183,0.00001182007,0.0000806105,0.0000453894],"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":[0.0006474264,0.00005907916,0.01157576,0.00008239373,0.00006865614,0.00005979871,0.0001956727,0.00005352966,0.9842703,0.0000257659,0.00004246215,0.002919151],"study_design_scores_gemma":[0.00001705602,0.001330665,0.769421,0.00002273708,0.0002327298,0.0001621057,0.0005862843,0.0004740133,0.2239645,0.00003672689,0.003721074,0.00003112536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998009,0.0005772983,0.0002352428,0.0000107297,0.000006324554,0.0000141366,0.0007421168,0.00001425737,0.0003909789],"genre_scores_gemma":[0.9926857,0.0004006039,0.001330313,0.00005380584,0.000003742185,0.00002846382,0.002143296,0.00002593163,0.003328078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03264592,"threshold_uncertainty_score":0.06491178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01619222646068656,"score_gpt":0.2281581394260957,"score_spread":0.2119659129654091,"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."}}