{"id":"W2048696812","doi":"10.5539/jas.v6n12p152","title":"Multivariate Statistical Analysis of the UV-Vis Profiles of Wine Polyphenolic Extracts during Vinification","year":2014,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Fermentation and Sensory Analysis","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Regione Autonoma della Sardegna","keywords":"Winemaking; Flavonols; Wine; Chemistry; Principal component analysis; Food science; Polyphenol; Anthocyanidin; Anthocyanin; Chromatography; Mathematics; Biochemistry; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006220298,0.000415589,0.0004509627,0.001131282,0.0002304432,0.0004546456,0.0001605833,0.0001869213,0.0008169794],"category_scores_gemma":[0.001068246,0.00007988252,0.0004660877,0.001236574,0.0002333006,0.0002057799,0.0002240598,0.0004288463,0.0001518382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305524,"about_ca_system_score_gemma":0.0002120715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001243424,"about_ca_topic_score_gemma":0.0008294237,"domain_scores_codex":[0.9997209,0.00006244838,0.00002177104,0.00008340736,0.00007787302,0.00003356523],"domain_scores_gemma":[0.9994498,0.0002295294,0.0000985162,0.00004596045,0.0001411734,0.00003503122],"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":[0.001722644,0.0004411049,0.05688382,0.0003521102,0.0002379524,0.0001838579,0.0007276718,0.005859955,0.7107388,0.0004965067,0.0004295576,0.221926],"study_design_scores_gemma":[0.00001335288,0.001153007,0.8196814,0.00001476446,0.0001299916,0.0003930599,0.00042549,0.04477406,0.1307999,0.0005520291,0.001957784,0.0001052487],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9671896,0.0002145885,0.03053075,0.00002626225,0.00001407921,0.00006266281,0.0009620418,0.0003097256,0.0006903264],"genre_scores_gemma":[0.9815603,0.0001249007,0.01650241,0.000009171121,0.000009201039,0.0001155,0.001084307,0.00004027032,0.0005537911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001243424,"threshold_uncertainty_score":0.0032897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737082130449321,"score_gpt":0.2499238991686404,"score_spread":0.2325530778641472,"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."}}