{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003793746,0.0004759595,0.0004306597,0.0003720329,0.0001637329,0.0003392792,0.0001937051,0.000347884,0.0004793427],"category_scores_gemma":[0.0003978101,0.0001810239,0.0004274855,0.0003353425,0.0001775258,0.0002610312,0.000206118,0.0003330761,0.0002266074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002259907,"about_ca_system_score_gemma":0.0002195616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007374922,"about_ca_topic_score_gemma":0.001297443,"domain_scores_codex":[0.9997372,0.00005653791,0.00002225352,0.00007412316,0.00007922166,0.00003054031],"domain_scores_gemma":[0.9999286,0.00002096427,0.00001608201,0.000005427562,0.00002201605,0.000006864104],"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":[0.00008045314,0.00002438473,0.0001465832,0.00008609765,0.0000115581,0.00002560305,0.00001609422,0.0001857074,0.9960367,0.00002713685,0.00001990713,0.003339763],"study_design_scores_gemma":[0.00001420472,0.0002613977,0.003209539,0.000009857214,0.00003795624,0.00007046754,0.00001792818,0.001426381,0.993421,0.00002329506,0.001495188,0.00001271351],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762694,0.00293489,0.01899089,0.00006655717,0.00003624657,0.0001863723,0.0002008356,0.00009568223,0.001219157],"genre_scores_gemma":[0.9658542,0.002026966,0.02940821,0.00006903497,0.00001620983,0.0001341577,0.000295925,0.00004317466,0.002152062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007374922,"threshold_uncertainty_score":0.002006292,"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."}}