{"id":"W4280538049","doi":"10.1155/2022/1577957","title":"In Vitro Alpha-Amylase Enzyme Assay of Hydroalcoholic Polyherbal Extract: Proof of Concept for the Development of Polyherbal Teabag Formulation for the Treatment of Diabetes","year":2022,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Natural Antidiabetic Agents Studies","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Acarbose; Phytochemical; Alpha-amylase; Alpha-glucosidase; Traditional medicine; In vitro; In vivo; Polyphenol; Terpenoid; Medicinal plants; Diabetes mellitus; Pharmacology; Anacardium; Glycoside; Phytotherapy; Postprandial; Chemistry; Amylase; Medicine; Enzyme; Biology; Biochemistry; Antioxidant; Biotechnology; Stereochemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009718998,0.0002175355,0.000701264,0.0001429288,0.0001884004,0.000001561176,0.0001961914,0.00001731397,0.0001726116],"category_scores_gemma":[0.0001705954,0.0001163492,0.0001357655,0.0002235132,0.0003727345,0.00008381526,0.00006998661,0.00009038431,2.988571e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001577501,"about_ca_system_score_gemma":0.0001353528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003649037,"about_ca_topic_score_gemma":0.00004451564,"domain_scores_codex":[0.9978833,0.0001253034,0.0009444999,0.0002419689,0.0005568644,0.0002481089],"domain_scores_gemma":[0.9951367,0.003765763,0.0006655101,0.0002075018,0.0001799146,0.00004463632],"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":[0.0126575,0.00447461,0.1056671,0.002349906,0.0047486,0.000009597733,0.03997496,0.001293267,0.5284123,0.001116651,0.001317709,0.2979778],"study_design_scores_gemma":[0.01016,0.006623115,0.02085065,0.0006184672,0.0006133216,0.000001525118,0.003741672,0.01345878,0.9418166,0.0002172204,0.00177305,0.0001256202],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675239,0.01677732,0.003149829,0.008299713,0.0002149273,0.00366481,0.0003575106,0.000004515178,0.000007437026],"genre_scores_gemma":[0.9973251,0.00008395215,0.001463872,0.000275723,0.0001378286,0.0005284347,0.0001098297,0.00001274914,0.00006255591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4134043,"threshold_uncertainty_score":0.4744581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09460268253336641,"score_gpt":0.3495419731936703,"score_spread":0.2549392906603039,"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."}}