{"id":"W3043545611","doi":"10.1155/2020/9760948","title":"In Vitro and In Vivo Anti‐Inflammatory Activities of Benjakul: A Potential Medicinal Product from Thai Traditional Medicine","year":2020,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Ginger and Zingiberaceae research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Office of the Higher Education Commission; Thammasat University; Thailand Research Fund","keywords":"Anti-inflammatory; In vivo; Traditional medicine; Pharmacology; Carrageenan; Prostaglandin E2; Inflammation; Nitric oxide; IC50; Piper; Medicine; Nitric oxide synthase; Chemistry; In vitro; Biology; Biochemistry; Immunology; Biotechnology; Internal 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":[0.0001506307,0.0004392142,0.000216003,0.0002683582,0.0001135553,0.0001519472,0.0001708754,0.0002312254,0.003090651],"category_scores_gemma":[0.0001313859,0.0001044347,0.0004045203,0.0002174463,0.0001587128,0.0002451808,0.000116147,0.0004541215,0.0004273444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007881819,"about_ca_system_score_gemma":0.000148867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004624698,"about_ca_topic_score_gemma":0.0004815526,"domain_scores_codex":[0.9999101,0.00002986479,0.00001023958,0.000009024542,0.00001650469,0.00002429874],"domain_scores_gemma":[0.9999051,0.00002294635,0.00002762194,0.000006823621,0.00001793685,0.00001955471],"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":[0.001528971,0.0002728008,0.0001631835,0.0005291023,0.00002265023,0.0001337294,0.0000236941,0.0001288192,0.9924143,0.00008713693,0.0002215661,0.004474147],"study_design_scores_gemma":[0.0001430343,0.007770252,0.005647689,0.0000553862,0.0001030871,0.0005765273,0.00004513679,0.0004026407,0.9799728,0.00006718938,0.005202556,0.00001381871],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665413,0.021408,0.002984472,0.0004717,0.0001964214,0.0001024117,0.000852885,0.0001010008,0.00734186],"genre_scores_gemma":[0.9818428,0.009223928,0.002499925,0.0003623782,0.0001071675,0.00006243531,0.001687451,0.00002096645,0.004192874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003090651,"threshold_uncertainty_score":0.01033926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2500029940743637,"score_gpt":0.4323229036666547,"score_spread":0.1823199095922909,"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."}}