{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000250611,0.0004586715,0.0002677418,0.0006375071,0.0002312799,0.0002970885,0.0002342615,0.0004189614,0.001417277],"category_scores_gemma":[0.0001575533,0.0001937822,0.0005026262,0.0006117008,0.0001252536,0.0004495275,0.000204473,0.0006578831,0.001053155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002442717,"about_ca_system_score_gemma":0.0002979076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004605113,"about_ca_topic_score_gemma":0.000680858,"domain_scores_codex":[0.9998931,0.00001565425,0.000008957816,0.00002244604,0.00004106653,0.00001869692],"domain_scores_gemma":[0.9999434,0.000009420146,0.00001177558,0.000005384808,0.00002162475,0.000008459559],"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":[0.00004278442,0.00008088839,0.0001865568,0.0003411279,0.00001701563,0.0001098459,0.00001585375,0.000258121,0.9772025,0.0003516705,0.0003090749,0.02108463],"study_design_scores_gemma":[0.00001654964,0.0002653716,0.001974402,0.00005254241,0.00003444964,0.0002291387,0.00003199612,0.001593123,0.978457,0.0004092985,0.0169207,0.00001543977],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7207146,0.04290924,0.21186,0.001118439,0.000661671,0.0009175212,0.001838096,0.0007800042,0.0192006],"genre_scores_gemma":[0.8366736,0.0177969,0.1279581,0.000465847,0.0000923012,0.0004901614,0.002299029,0.0001250347,0.01409911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001417277,"threshold_uncertainty_score":0.004741251,"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."}}