{"id":"W3143982112","doi":"10.31665/jfb.2020.13260","title":"Extended maceration of must improves phenolic composition and antioxidant potential of Touriga Nacional tropical wine","year":2021,"lang":"en","type":"article","venue":"Journal of Food Bioactives","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundação de Amparo à Pesquisa do Estado da Bahia; Empresa Brasileira de Pesquisa Agropecuária","keywords":"Maceration (sewage); Wine; Winemaking; Catechin; Food science; Composition (language); Chemistry; Polyphenol; Botany; Horticulture; Antioxidant; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005848895,0.00005957916,0.0001901566,0.00002604099,0.00005111237,0.00001725333,0.00004235439,0.000050897,0.0001015736],"category_scores_gemma":[0.00001501537,0.00002558737,0.0001242939,0.0001348857,0.00007377027,0.0001466988,0.00001397794,0.00008112909,1.449766e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000856237,"about_ca_system_score_gemma":0.00001129192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003523674,"about_ca_topic_score_gemma":0.000009963273,"domain_scores_codex":[0.999266,0.00009310656,0.0003099442,0.00008069667,0.0001901087,0.00006017146],"domain_scores_gemma":[0.9993889,0.00004227369,0.0003177801,0.00001790331,0.000190161,0.00004292196],"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":[0.0001790552,0.0002328411,0.0004604564,0.000008125345,0.0001095113,0.000004505808,0.00008651461,0.000007465021,0.99117,0.0002598302,0.000009963116,0.007471747],"study_design_scores_gemma":[0.0002775979,0.0006477669,0.4979759,0.00001720341,0.00005660592,0.00005589972,0.001027413,0.00009061151,0.4995624,0.0002251017,0.0000228808,0.00004066702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985341,0.0001802821,0.00006452511,0.001088695,0.00004747637,0.00002933984,0.00002342538,0.000001972708,0.00003013131],"genre_scores_gemma":[0.999289,0.00009605689,0.0003976985,0.00003658556,0.0001550854,2.355812e-7,0.000009230565,3.936701e-7,0.0000157138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4975154,"threshold_uncertainty_score":0.111216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313440333847738,"score_gpt":0.2270159306353534,"score_spread":0.213881527296876,"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."}}