{"id":"W1892878984","doi":"10.1111/ijfs.12944","title":"Extraction, optimisation and characterisation of phenolics from <i><scp>T</scp>hymus vulgaris </i><scp>L</scp>.: phenolic content and profiles in relation to antioxidant, antidiabetic and antihypertensive properties","year":2015,"lang":"en","type":"article","venue":"International Journal of Food Science & Technology","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Jordan University of Science and Technology","keywords":"Chemistry; Antioxidant; Gallic acid; Rosmarinic acid; Extraction (chemistry); Alpha-glucosidase; Food science; Amylase; Chromatography; Enzyme; Biochemistry","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":[0.000216498,0.0003933063,0.0003360935,0.0005475716,0.0002456649,0.0003526894,0.0001707842,0.0002456412,0.0008384363],"category_scores_gemma":[0.0002623481,0.0001426943,0.0004329622,0.0005151768,0.0001922678,0.0002722496,0.0001433648,0.0005305879,0.0002744581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001649583,"about_ca_system_score_gemma":0.000248565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001100702,"about_ca_topic_score_gemma":0.001915563,"domain_scores_codex":[0.9998571,0.00002864504,0.00001197998,0.0000313393,0.00004648232,0.00002434658],"domain_scores_gemma":[0.9998477,0.00003198619,0.00003910428,0.00001307972,0.00004473283,0.00002347975],"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":[0.00006760853,0.00001730619,0.0002326888,0.00009352881,0.00001184771,0.00004324628,0.0000140587,0.00007086273,0.9978707,0.000009693665,0.00001424862,0.001554242],"study_design_scores_gemma":[0.000009232446,0.0003553216,0.01298732,0.00002693415,0.00006025326,0.0002465575,0.00008527001,0.0006865698,0.9836335,0.0000378631,0.001855485,0.00001577909],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884472,0.002126623,0.007209037,0.00005837552,0.00001460392,0.00008192185,0.0007188651,0.0000431425,0.001300179],"genre_scores_gemma":[0.9857764,0.001269405,0.009059575,0.00009021093,0.00001413863,0.00008181199,0.001342236,0.00006766262,0.002298527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001100702,"threshold_uncertainty_score":0.002804816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02983464259692752,"score_gpt":0.2538191180207012,"score_spread":0.2239844754237737,"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."}}