{"id":"W4386516473","doi":"10.1016/j.jep.2023.117131","title":"Exploring in vitro and in vivo anti-inflammatory activities of the Thai traditional remedy Kheaw-Hom and its bioactive compound, ethyl p-methoxycinnamate, and ethnopharmacological analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Ethnopharmacology","topic":"Ginger and Zingiberaceae research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"In vivo; Anti-inflammatory; Carrageenan; In vitro; Chemistry; Bioactive compound; Pharmacology; Tumor necrosis factor alpha; Prostaglandin E2; High-performance liquid chromatography; Nitric oxide; Traditional medicine; Biochemistry; Medicine; Chromatography; Biology; Organic chemistry; Immunology; Biotechnology","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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004235806,0.0002989612,0.0009473244,0.001652814,0.0002331046,0.00002286729,0.0003031072,0.0003175343,0.0001834087],"category_scores_gemma":[0.0002602835,0.0002379612,0.0001720149,0.001657133,0.0007857771,0.0004957982,0.0003047724,0.002544613,0.000001479866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001294031,"about_ca_system_score_gemma":0.0001849939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002325103,"about_ca_topic_score_gemma":0.00003735412,"domain_scores_codex":[0.9955565,0.002147626,0.0009263352,0.0003718052,0.0003773323,0.0006204455],"domain_scores_gemma":[0.9948777,0.004115155,0.0004921291,0.00009910998,0.0001525593,0.0002633523],"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":[0.001743841,0.0002645045,0.06219628,0.0001536506,0.0008310748,0.0004284176,0.003902799,0.001504952,0.9274048,0.00008751062,0.000255711,0.001226415],"study_design_scores_gemma":[0.005526207,0.0001987349,0.3779528,0.00005752284,0.0007091876,0.0001008509,0.002840574,0.01138675,0.5997723,0.0003776782,0.0007625738,0.0003148765],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937386,0.002102876,0.000004724634,0.002477434,0.00104248,0.0003894056,0.00007266442,0.00002028975,0.0001515444],"genre_scores_gemma":[0.9915686,0.007669816,0.00007885507,0.0003817453,0.0001736285,0.00004657827,0.000002415527,0.00002165434,0.00005669791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3276325,"threshold_uncertainty_score":0.9997566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3675743868690946,"score_gpt":0.4577421709373347,"score_spread":0.09016778406824005,"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."}}