{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000521837,0.0002909035,0.0006978834,0.00009861712,0.0000586985,0.00002202112,0.0002971663,0.0003557564,0.000008263316],"category_scores_gemma":[0.0001142948,0.000236937,0.0001288187,0.0003538117,0.00006975816,0.00004722324,0.0002059595,0.000328662,0.00003762574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006920286,"about_ca_system_score_gemma":0.00002735626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002307332,"about_ca_topic_score_gemma":0.000009084334,"domain_scores_codex":[0.9987084,0.00002301393,0.000461954,0.0004297093,0.0001574466,0.0002195221],"domain_scores_gemma":[0.9991291,0.00008901402,0.0002447153,0.0004598621,0.00004514237,0.00003214239],"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":[0.000002593315,0.00004782567,1.569171e-7,0.004918523,0.000324785,0.000002146502,0.00002069068,0.000002259746,0.02856251,0.0001920676,0.0001237558,0.9658027],"study_design_scores_gemma":[0.0004276446,0.0001943755,0.000009828356,0.01010277,0.0017692,0.00004432083,0.0001975115,0.001053724,0.05713934,0.001402203,0.9263213,0.001337816],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000258586,0.9952652,0.00320955,0.0001024464,0.00008688779,0.0004203048,0.0001440698,0.0004504094,0.00006258675],"genre_scores_gemma":[0.001531618,0.9964691,0.00094684,0.000004682845,0.00007184832,0.0002754029,0.000269306,0.00009305863,0.0003381764],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9644648,"threshold_uncertainty_score":0.966201,"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."}}