{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004852787,0.000133941,0.0002310219,0.0006728923,0.00005766902,0.00006557299,0.0002377508,0.0001790996,2.70827e-7],"category_scores_gemma":[0.001773963,0.0001128855,0.00002708785,0.0002934311,0.0005141608,0.0001097155,0.0001626664,0.0001739379,4.135907e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004643361,"about_ca_system_score_gemma":0.0001286772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005181406,"about_ca_topic_score_gemma":0.00001590484,"domain_scores_codex":[0.9987295,0.00003780959,0.0004316225,0.0002965534,0.0003373484,0.0001671783],"domain_scores_gemma":[0.9981971,0.00003926965,0.0004873574,0.000116801,0.001070554,0.00008892141],"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":[0.000030034,0.00006263407,0.04039847,0.000004990205,0.00005135773,0.000003004678,0.0006751023,0.00004794974,0.9545119,0.00009002379,0.00001660146,0.004107882],"study_design_scores_gemma":[0.0006812276,0.0008191717,0.1334703,0.00009437553,0.00002047174,0.0001403146,0.00235982,0.0003519313,0.8609334,0.0006484452,0.0004336256,0.00004697687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961575,0.00191101,0.0008690659,0.0006365579,0.0001573823,0.0002085279,0.0000160145,0.000007082337,0.000036834],"genre_scores_gemma":[0.9977578,0.000776093,0.001249511,0.00009439096,0.00008590791,0.000009033649,0.000005949438,0.000008077111,0.00001322281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09357861,"threshold_uncertainty_score":0.4603339,"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."}}