{"id":"W2900489465","doi":"10.18433/jpps30212","title":"Progress on Active Analgesic Components and Mechanisms of Commonly Used Traditional Chinese Medicines: A Comprehensive Review","year":2018,"lang":"en","type":"review","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Analgesic; Traditional Chinese medicine; Drug; Opioid; Intensive care medicine; Active ingredient; Alternative medicine; Adverse effect; Chronic pain; Addiction; Traditional medicine; Pharmacology; Anesthesia; Physical therapy; Internal medicine; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005444096,0.0009255079,0.003642156,0.001011205,0.0004507048,0.0000430196,0.001814073,0.0003368668,0.001629403],"category_scores_gemma":[0.0007812119,0.0005874943,0.0008088845,0.001651628,0.004600158,0.0003745675,0.0002651216,0.00379973,0.00005936862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002669459,"about_ca_system_score_gemma":0.001532775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007275197,"about_ca_topic_score_gemma":0.000001087392,"domain_scores_codex":[0.9898785,0.003306942,0.002408487,0.0007404176,0.002656875,0.001008716],"domain_scores_gemma":[0.9879084,0.007164231,0.002383453,0.0002414342,0.0007997574,0.001502785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001953672,0.002260984,0.0002177529,0.05337739,0.002122372,0.00110102,0.000157647,0.000003882165,0.00161323,0.0008503473,0.01184449,0.9244972],"study_design_scores_gemma":[0.003924904,0.001725196,0.00009057292,0.03136171,0.004170254,0.001967082,0.00004466947,0.0005019287,0.0009486346,0.0005021544,0.9542149,0.0005479809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004781617,0.9884782,0.0000295396,0.002352498,0.001609518,0.001810053,0.0004966113,0.00002617927,0.0004157677],"genre_scores_gemma":[0.01064509,0.9843912,0.0002003151,0.003592799,0.0009876261,0.00005926066,0.00005777097,0.00004827314,0.00001767831],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9423704,"threshold_uncertainty_score":0.9996576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5083799324610877,"score_gpt":0.5855244251219761,"score_spread":0.07714449266088841,"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."}}