{"id":"W4387133915","doi":"10.3390/molecules28196852","title":"Green Extraction of Polyphenols via Deep Eutectic Solvents and Assisted Technologies from Agri-Food By-Products","year":2023,"lang":"en","type":"review","venue":"Molecules","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Polyphenol; Biochemical engineering; Eutectic system; Business; Sustainable production; Chemistry; Biotechnology; Food products; Extraction (chemistry); Food science; Computer science; Production (economics); Organic chemistry; Engineering; Biology; Economics; Antioxidant","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002113924,0.0008676639,0.0007552854,0.001961005,0.0002185311,0.0006639647,0.0004224153,0.0005763614,0.002317145],"category_scores_gemma":[0.0002150447,0.0002704598,0.0005014655,0.001625436,0.0002096719,0.0009137983,0.0004878269,0.0007432058,0.001319865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003479621,"about_ca_system_score_gemma":0.0004319353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005695745,"about_ca_topic_score_gemma":0.001245074,"domain_scores_codex":[0.9998785,0.00001170753,0.00001101295,0.00002349752,0.00005566658,0.00001958659],"domain_scores_gemma":[0.9999385,0.00002076027,0.00001479233,0.000002749511,0.00001730534,0.000005924972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000844328,0.00017391,0.0003322459,0.04256887,0.0001618653,0.0004672141,0.0001252608,0.001449899,0.06569629,0.008018428,0.01391401,0.8670076],"study_design_scores_gemma":[0.000008810612,0.0001759504,0.001072626,0.002117611,0.0001342416,0.001164048,0.0000769539,0.0004221442,0.02456695,0.001567314,0.9686617,0.00003170524],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002299229,0.9924093,0.0008983082,0.0001771656,0.0001407789,0.00001504621,0.00006543654,0.00002360927,0.003971077],"genre_scores_gemma":[0.006377348,0.9903875,0.0007599282,0.0001061542,0.00006235367,0.00001634289,0.0000665441,0.000004415897,0.002219392],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002317145,"threshold_uncertainty_score":0.007751584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04681143185168432,"score_gpt":0.2832365078083228,"score_spread":0.2364250759566384,"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."}}