{"id":"W4300816853","doi":"10.1155/2022/7416448","title":"Exploring the Potential Mechanism of Qi-Shen-Di-Huang Drug Formulary for Myasthenia Gravis (MG) based on UHPLC-QE-MS Network Pharmacology and Molecular Docking Techniques","year":2022,"lang":"en","type":"article","venue":"Evidence-based Complementary and Alternative Medicine","topic":"Plant-based Medicinal Research","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Education Department of Jilin Province; People's Government of Jilin Province; Administration of Traditional Chinese Medicine of Jilin Province; Jilin Province Development and Reform Commission","keywords":"Myasthenia gravis; Formulary; Pharmacology; Drug; Mechanism (biology); Medicine; Chemistry; Internal medicine; Philosophy","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004068382,0.0003884849,0.00056847,0.0003609119,0.001048904,0.00001370468,0.0006158068,0.0000444953,0.001062608],"category_scores_gemma":[0.0001706202,0.0002971887,0.0001155784,0.0003404582,0.0005934455,0.0001872011,0.0003333466,0.00113909,7.930158e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001795265,"about_ca_system_score_gemma":0.0001606515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004556471,"about_ca_topic_score_gemma":0.00002452836,"domain_scores_codex":[0.9956696,0.001580041,0.0006292028,0.0005953757,0.0008105667,0.0007152152],"domain_scores_gemma":[0.9940602,0.004916052,0.000348799,0.0002462493,0.0001516769,0.0002770316],"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":[0.02608401,0.0009176957,0.01423826,0.001573955,0.001807885,0.001713694,0.003524061,0.06481209,0.7304479,0.01632774,0.01915731,0.1193954],"study_design_scores_gemma":[0.0150165,0.01013152,0.00187978,0.001232919,0.00142281,0.00007667322,0.002012926,0.4252163,0.4971731,0.006822411,0.03821253,0.0008024251],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455592,0.002817659,0.01881463,0.02782921,0.001606361,0.002863763,0.0003288952,0.00007775161,0.0001025248],"genre_scores_gemma":[0.982742,0.0005671142,0.0005873039,0.01381434,0.000862342,0.001196623,0.0001736032,0.00003790714,0.00001883284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3604043,"threshold_uncertainty_score":0.999948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2635507238295078,"score_gpt":0.4523941451728886,"score_spread":0.1888434213433808,"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."}}