{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008081992,0.0005055832,0.0007701688,0.0001482484,0.000552926,0.0000228946,0.0004633883,0.0001869616,0.0009632451],"category_scores_gemma":[0.00006992702,0.0002385524,0.00009779798,0.0003324607,0.002426418,0.0002151556,0.0002280768,0.0006645208,0.00006352171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004161573,"about_ca_system_score_gemma":0.00007188644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000211534,"about_ca_topic_score_gemma":0.00007455786,"domain_scores_codex":[0.9972697,0.0006540128,0.0005747603,0.000734113,0.0001842343,0.0005831284],"domain_scores_gemma":[0.9985914,0.0002201725,0.0003425821,0.0004815671,0.0002724241,0.0000918182],"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":[0.000599431,0.0002202382,0.003196833,0.00009178741,0.0002867555,0.00008223726,0.001465539,8.14004e-7,0.9892336,0.0007319028,0.0002481656,0.003842676],"study_design_scores_gemma":[0.00232627,0.002954263,0.004799596,0.0002834282,0.0003188003,0.0001509608,0.002193191,0.0000163262,0.9811749,0.00009492876,0.005340175,0.0003471492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829608,0.006059447,0.007474106,0.001256345,0.0004149551,0.0009272136,0.00003313446,0.00006291266,0.0008110615],"genre_scores_gemma":[0.9976837,0.0001958842,0.0001515631,0.0002148727,0.000160883,0.00006316751,0.00007261291,0.00004141761,0.001415925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01472285,"threshold_uncertainty_score":0.99995,"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."}}