{"id":"W4387728387","doi":"10.1080/10408347.2023.2266846","title":"Factors Affecting the Extraction of (Poly)Phenols from Natural Resources Using Deep Eutectic Solvents Combined with Ultrasound-Assisted Extraction","year":2023,"lang":"en","type":"review","venue":"Critical Reviews in Analytical Chemistry","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Extraction (chemistry); Solvent; Deep eutectic solvent; Phenols; Yield (engineering); Chromatography; Toluene; Eutectic system; Ultrasound; Materials science; Chemistry; Organic chemistry; Metallurgy","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005320727,0.0006451511,0.002093892,0.00006993645,0.0001765666,0.00009639026,0.0005501931,0.0005111168,0.0001883536],"category_scores_gemma":[0.004932634,0.0003812865,0.0007120268,0.0009633611,0.0003918696,0.0001282438,0.0001260767,0.001866338,0.00002520669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005067493,"about_ca_system_score_gemma":0.00009408705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009374724,"about_ca_topic_score_gemma":0.000009496705,"domain_scores_codex":[0.9964509,0.000191907,0.001613873,0.0007116169,0.0004633622,0.000568354],"domain_scores_gemma":[0.9940659,0.004477076,0.0004330551,0.0007405769,0.0001029946,0.0001804147],"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":[0.0003820689,0.002852075,0.000109652,0.3100677,0.003259008,0.0001516445,0.001029599,0.0003166811,0.0425817,0.002599392,0.000313692,0.6363368],"study_design_scores_gemma":[0.002414494,0.0003305554,0.0001962021,0.3318383,0.02301319,0.0005320202,0.003538171,0.09639162,0.01659081,0.00110299,0.5168998,0.007151781],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003529868,0.9928858,0.001973737,0.00004542483,0.0001699461,0.0008014929,0.00003274481,0.0001288457,0.0004321501],"genre_scores_gemma":[0.08384278,0.9138316,0.0006839427,0.00002108174,0.0005783362,0.0002314835,0.0002586694,0.0002124229,0.0003396738],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.629185,"threshold_uncertainty_score":0.9998639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1085772927568993,"score_gpt":0.3813366176516425,"score_spread":0.2727593248947432,"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."}}