{"id":"W3096323151","doi":"10.1016/j.jep.2020.113520","title":"Ethnopharmacological analysis from Thai traditional medicine called prasachandaeng remedy as a potential antipyretic drug","year":2020,"lang":"en","type":"article","venue":"Journal of Ethnopharmacology","topic":"Piperaceae Chemical and Biological Studies","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Thammasat University","keywords":"Antipyretic; Traditional medicine; Medicine; Decoction; Active ingredient; Phytotherapy; Maceration (sewage); Traditional Chinese medicine; Pharmacology; Analgesic","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001420362,0.0005720538,0.001785152,0.0002902422,0.0004030959,0.00002127565,0.001018844,0.0007511452,0.03008886],"category_scores_gemma":[0.001111973,0.0003887491,0.0008107106,0.001225966,0.001311443,0.0001905129,0.0002873842,0.00341936,0.0001738369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369468,"about_ca_system_score_gemma":0.000146332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004029978,"about_ca_topic_score_gemma":0.000006024262,"domain_scores_codex":[0.9945542,0.001617854,0.001671306,0.0006711244,0.0006747106,0.0008108338],"domain_scores_gemma":[0.9945391,0.00252893,0.00106539,0.0001296989,0.0005165978,0.001220286],"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":[0.005413968,0.0008029705,0.003974222,0.0000298362,0.006433733,0.001932185,0.001816064,0.000902826,0.9236951,0.000147836,0.05224684,0.002604421],"study_design_scores_gemma":[0.05526828,0.01006343,0.02856376,0.00009794595,0.0475627,0.0003247996,0.004338848,0.02279134,0.538115,0.01509852,0.2745463,0.00322908],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172254,0.006117452,0.0004802469,0.0717188,0.002673535,0.0003430379,0.0001522379,0.0000928849,0.001196367],"genre_scores_gemma":[0.9577102,0.002577001,0.0003428828,0.0348659,0.004230059,0.0000257618,0.00007397451,0.00002505867,0.0001491789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3855801,"threshold_uncertainty_score":0.9998564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2533399625771328,"score_gpt":0.4466523120285252,"score_spread":0.1933123494513925,"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."}}