{"id":"W2972934137","doi":"10.18433/jpps30429","title":"Role of differential proteomics in studying pharmacological mechanisms of traditional Chinese medicines","year":2019,"lang":"en","type":"review","venue":"Journal of Pharmacy & Pharmaceutical Sciences","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Academy of Chinese Medical Sciences; National Natural Science Foundation of China","keywords":"Proteomics; Mechanism (biology); Computer science; Computational biology; Data science; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009371958,0.0008311907,0.001230851,0.003195451,0.0003186773,0.001124222,0.0008442163,0.001240621,0.001253054],"category_scores_gemma":[0.0007303178,0.000290256,0.0005121229,0.002479045,0.0007926377,0.001594038,0.0008865956,0.001713359,0.000836148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00082451,"about_ca_system_score_gemma":0.00111361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009380329,"about_ca_topic_score_gemma":0.001165689,"domain_scores_codex":[0.9997608,0.00004951695,0.00003140048,0.00005457086,0.00008255136,0.00002112229],"domain_scores_gemma":[0.9995888,0.0002279187,0.00003825781,0.00001410732,0.00009821272,0.00003277923],"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":[0.00006977998,0.00007477094,0.0005030727,0.01873244,0.0001551537,0.0004740615,0.0001273965,0.000327335,0.006505128,0.01155178,0.01232745,0.9491518],"study_design_scores_gemma":[0.00002389932,0.0001572753,0.00375462,0.0045373,0.0002407424,0.003519099,0.0001610004,0.0003446674,0.003616954,0.008902977,0.974669,0.00007234667],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001648173,0.9984453,0.0002558895,0.0002910249,0.0001243702,0.000003107827,0.00001068269,0.000005459913,0.0006993488],"genre_scores_gemma":[0.0009750791,0.9981512,0.000323068,0.0001691301,0.0001350542,0.000005919037,0.00001704791,9.624837e-7,0.0002224833],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003195451,"threshold_uncertainty_score":0.00598228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1286406494921002,"score_gpt":0.4264079937746122,"score_spread":0.2977673442825121,"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."}}