{"id":"W3005460175","doi":"10.3390/biom10020243","title":"Optimization of Catechin and Proanthocyanidin Recovery from Grape Seeds Using Microwave-Assisted Extraction","year":2020,"lang":"en","type":"article","venue":"Biomolecules","topic":"Tea Polyphenols and Effects","field":"Medicine","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Proanthocyanidin; Chemistry; Catechin; Nutraceutical; Flavonoid; Epigallocatechin gallate; Grape seed extract; Food science; Bioavailability; Extraction (chemistry); Epicatechin gallate; Ingredient; Polyphenol; Chromatography; Kaempferol; Antioxidant; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00004404142,0.00009827706,0.0001823892,0.00005471516,0.00003470709,0.00001537873,0.00002670836,0.00008149639,0.00001670175],"category_scores_gemma":[0.00005484954,0.00008876815,0.00004321481,0.000176314,0.00005030477,0.00006359491,0.00002220606,0.00005867032,0.00000195374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002134457,"about_ca_system_score_gemma":0.00004506214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004586823,"about_ca_topic_score_gemma":0.000008480144,"domain_scores_codex":[0.9994206,0.00003631896,0.0001669284,0.0001845962,0.00009552082,0.00009601063],"domain_scores_gemma":[0.9996707,0.00002403695,0.00009872769,0.00009016379,0.00003416969,0.00008223618],"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":[0.0002344749,0.00004981509,0.001064884,0.00008828156,0.00004870009,0.00001739534,0.0002057384,0.0001000668,0.990011,0.0000160229,0.00005425668,0.008109407],"study_design_scores_gemma":[0.001218835,0.0004140071,0.01776038,0.0001892665,0.0002310025,0.00005706178,0.000245819,0.02892288,0.9506256,0.00002502436,0.0001421776,0.0001679679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303823,0.0008925124,0.0677652,0.000501868,0.00006464573,0.000216818,0.00001985585,0.00004673733,0.0001100375],"genre_scores_gemma":[0.9597286,0.00007465354,0.03988745,0.0001590276,0.00006293663,0.000002234452,0.00005920341,0.00001827271,0.000007620147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03938539,"threshold_uncertainty_score":0.361986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03498388824060338,"score_gpt":0.277493515127493,"score_spread":0.2425096268868896,"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."}}