{"id":"W4323664215","doi":"10.3390/foods12061144","title":"From Foxtail Millet Husk (Waste) to Bioactive Phenolic Extracts Using Deep Eutectic Solvent Extraction and Evaluation of Antioxidant, Acetylcholinesterase, and α-Glucosidase Inhibitory Activities","year":2023,"lang":"en","type":"article","venue":"Foods","topic":"Ionic liquids properties and applications","field":"Chemical Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Husk; Antioxidant; Chemistry; Extraction (chemistry); Acetylcholinesterase; Foxtail; Deep eutectic solvent; Food science; Traditional medicine; Eutectic system; Biochemistry; Botany; Biology; Chromatography; Organic chemistry; Enzyme; Medicine","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":[0.0001599966,0.0006578919,0.0003575839,0.0006344915,0.0001595357,0.0002929371,0.0001284358,0.0002581819,0.0006160931],"category_scores_gemma":[0.0001242097,0.0001755526,0.0003888169,0.0004692531,0.0001501778,0.0002407236,0.0002686516,0.0002827874,0.0002251974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002278623,"about_ca_system_score_gemma":0.0002545395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001022463,"about_ca_topic_score_gemma":0.003179402,"domain_scores_codex":[0.9998883,0.00001066863,0.000008582625,0.00003387476,0.0000387251,0.00001988085],"domain_scores_gemma":[0.9999543,0.000007538068,0.00001540631,0.000003384521,0.00001152164,0.000007792075],"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":[0.00007433492,0.00002446819,0.0003725335,0.0001091866,0.00001410134,0.00009279918,0.00001792157,0.00008311265,0.9950063,0.00002229594,0.0000323447,0.004150446],"study_design_scores_gemma":[0.0000192779,0.0004591017,0.01096574,0.00002681121,0.00006538031,0.000324967,0.00004125373,0.000687456,0.9837466,0.00005342225,0.003597955,0.00001204535],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855576,0.004155411,0.008298556,0.00006357857,0.00002439226,0.00009804286,0.0005779883,0.00008520004,0.001139147],"genre_scores_gemma":[0.9661499,0.002872523,0.02191819,0.0002440633,0.00001872288,0.0001148978,0.0018816,0.00005962081,0.006740446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001022463,"threshold_uncertainty_score":0.002061069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04944706532576797,"score_gpt":0.317964301832769,"score_spread":0.268517236507001,"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."}}