{"id":"W2006522226","doi":"10.1081/fri-200040606","title":"Extraction of Polyphenolics from Plant Material for Functional Foods—Engineering and Technology","year":2005,"lang":"en","type":"article","venue":"Food Reviews International","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":278,"is_retracted":false,"has_abstract":true,"ca_institutions":"Niagara College; University of Guelph; Agriculture and Agri-Food Canada","funders":"","keywords":"Polyphenol; Chemistry; Pomace; Nutraceutical; Food science; Proanthocyanidin; Extraction (chemistry); Phenols; Antioxidant; Chromatography; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.00009485114,0.00009848888,0.0002368852,0.00009704338,0.00001882859,0.000008577553,0.00005162905,0.0000847403,0.0001621014],"category_scores_gemma":[0.0001180076,0.00008290186,0.00005961816,0.00005372209,0.00002127255,0.00006562571,0.00002632151,0.00007638732,0.000008409231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000395398,"about_ca_system_score_gemma":0.00001845139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008335229,"about_ca_topic_score_gemma":0.000007236699,"domain_scores_codex":[0.9993485,0.000006337446,0.0002847666,0.0001502033,0.000111129,0.00009908301],"domain_scores_gemma":[0.9996514,0.00004468119,0.0001130977,0.00009773663,0.00005485353,0.00003825927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008806979,0.0003909819,0.003425552,0.0005088183,0.0006536718,0.00000339316,0.0001463854,0.00004585845,0.760993,0.02404861,0.01024083,0.1986622],"study_design_scores_gemma":[0.002861463,0.0009708828,0.01652621,0.0007013196,0.000196884,0.0002528827,0.00002442535,0.007989139,0.06692225,0.0007224517,0.9025741,0.0002579932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97359,0.007488849,0.0111491,0.004106424,0.001866321,0.000819103,0.0006330129,0.00008106752,0.0002660898],"genre_scores_gemma":[0.9818862,0.0005288487,0.01545903,0.0001403664,0.001432719,0.00009960339,0.0003537902,0.00001703475,0.00008240814],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8923333,"threshold_uncertainty_score":0.338064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556779797038,"score_gpt":0.2780459062172926,"score_spread":0.2524781082469126,"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."}}