{"id":"W2885532185","doi":"10.1155/2018/4908328","title":"Polypharmacological Profiles Underlying the Antitumor Property of <i>Salvia miltiorrhiza</i> Root (Danshen) Interfering with NOX‐Dependent Neutrophil Extracellular Traps","year":2018,"lang":"en","type":"article","venue":"Oxidative Medicine and Cellular Longevity","topic":"Neutrophil, Myeloperoxidase and Oxidative Mechanisms","field":"Immunology and Microbiology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"Government of Jiangsu Province; China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Salvia miltiorrhiza; Neutrophil extracellular traps; Chemistry; Ex vivo; Pharmacology; Caffeic acid; Antioxidant; Inflammation; Cancer research; Biochemistry; In vitro; Medicine; Immunology; Pathology; Traditional Chinese medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000625762,0.0002290345,0.0001665829,0.0001724656,0.0000730102,0.0001189842,0.00008141212,0.0001312473,0.0006892331],"category_scores_gemma":[0.00006602022,0.00004888696,0.0001381469,0.00007188254,0.00009700924,0.0001285696,0.00006857291,0.0002557371,0.0001243338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008523345,"about_ca_system_score_gemma":0.00007845435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002150767,"about_ca_topic_score_gemma":0.0003853938,"domain_scores_codex":[0.9999713,0.000005742742,0.000003496295,0.00000510734,0.000006146825,0.000008219306],"domain_scores_gemma":[0.9999747,0.000004857652,0.0000082071,0.00000224952,0.000003200709,0.000006756175],"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":[0.0001433138,0.00004072696,0.00007533891,0.0000407568,0.000007007925,0.00002095229,0.000006047071,0.00008228868,0.9980558,0.0000603915,0.0000259979,0.001441213],"study_design_scores_gemma":[0.00007342485,0.001765343,0.004479071,0.000006659379,0.00004945261,0.0001536723,0.00001629451,0.001158878,0.9897371,0.00005946511,0.002492531,0.000008121838],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961758,0.001423883,0.001018301,0.00006883756,0.00001283232,0.00003379833,0.0001403364,0.00003898476,0.001087177],"genre_scores_gemma":[0.9972157,0.0008466007,0.0008804959,0.0000485966,0.000009099605,0.00002192452,0.0002182794,0.000004413912,0.0007547408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006892331,"threshold_uncertainty_score":0.002305746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04025044232745686,"score_gpt":0.2677491183317733,"score_spread":0.2274986760043165,"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."}}