{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003173997,0.0001597747,0.0001934641,0.0001406104,0.0001130177,0.00003656921,0.00005921551,0.0001237442,0.00002091004],"category_scores_gemma":[0.0001020042,0.000155954,0.00003952091,0.0002694683,0.00004904078,0.0002621771,0.00008957208,0.0001721862,0.000005702122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008904046,"about_ca_system_score_gemma":0.00004035619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002391063,"about_ca_topic_score_gemma":0.0000294337,"domain_scores_codex":[0.9989042,0.0000591996,0.0002590704,0.0002997867,0.0002675639,0.0002102308],"domain_scores_gemma":[0.9993797,0.0001291614,0.0001002846,0.0001991739,0.00009810826,0.00009358518],"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":[0.00004380659,0.00004794658,0.00003488184,0.00005158824,0.00004814327,6.673185e-7,0.001715074,0.003836524,0.98428,0.00003993542,0.00003926707,0.00986213],"study_design_scores_gemma":[0.0008851515,0.00007275447,0.001122502,0.00020234,0.0001724624,0.000009185295,0.003891623,0.2804919,0.7123537,0.000179541,0.0003373749,0.0002813962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932398,0.0005297103,0.005351656,0.0001621944,0.0001436513,0.0003694299,0.00003255205,0.00008166486,0.00008938931],"genre_scores_gemma":[0.9983329,0.0000674293,0.001119879,0.00002703299,0.0002772645,0.00008217861,0.00001981069,0.00003050082,0.00004306384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2766554,"threshold_uncertainty_score":0.6359621,"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."}}