{"id":"W4296249377","doi":"10.20870/oeno-one.2022.56.3.4873","title":"Thiol precursors and amino acids profile of white interspecific hybrid &lt;i&gt;Vitis&lt;/i&gt; varieties and impact of foliar urea and sulfur supplementation on the concentration of thiol precursors in &lt;i&gt;Vitis&lt;/i&gt; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006063287,0.0002889452,0.0005259382,0.00009134446,0.0003816948,0.00007503048,0.0002138225,0.00008141209,0.001398017],"category_scores_gemma":[0.00009552399,0.0001552766,0.0001423152,0.0004553212,0.0004807358,0.0003117853,0.0001662634,0.0001736801,0.000001384151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008834335,"about_ca_system_score_gemma":0.0000344486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001298872,"about_ca_topic_score_gemma":0.001035447,"domain_scores_codex":[0.9974098,0.0005559703,0.0006867104,0.0004631977,0.0005580813,0.0003262953],"domain_scores_gemma":[0.9987026,0.000416056,0.0004985438,0.0001397395,0.0001386388,0.0001043634],"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":[0.0008900038,0.0004923129,0.0322569,0.00008489312,0.0002543544,0.000005592089,0.01110018,0.0001426151,0.9372892,0.0103623,0.001415268,0.005706321],"study_design_scores_gemma":[0.001758679,0.00403971,0.9030304,0.0001383519,0.0002406172,0.00002531814,0.006854113,0.001224904,0.07925529,0.001428967,0.001473822,0.0005298176],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954019,0.0005601603,0.000007952706,0.0009455107,0.00006553547,0.0008339395,0.00115539,0.00002174814,0.001007933],"genre_scores_gemma":[0.9979692,0.0006716416,0.0000723886,0.0000665987,0.00004229929,0.00007543645,0.0005138489,0.0000053936,0.0005832494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8707735,"threshold_uncertainty_score":0.9995148,"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."}}