{"id":"W2947723424","doi":"10.1111/jth.14526","title":"Topical tranexamic acid inhibits fibrinolysis more effectively when formulated with self‐propelling particles","year":2019,"lang":"en","type":"article","venue":"Journal of Thrombosis and Haemostasis","topic":"Trauma, Hemostasis, Coagulopathy, Resuscitation","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Drug Research and Development; Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Tranexamic acid; Antifibrinolytic; Fibrinolysis; Medicine; Pharmacology; Thromboelastography; Anesthesia; Fibrinolytic agent; Thrombosis; Tissue plasminogen activator; Chemistry; Surgery; Blood loss; Internal medicine; Coagulation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002314089,0.0002543329,0.0002729014,0.0001742166,0.000130392,0.0002627406,0.0001842424,0.0002873205,0.001074224],"category_scores_gemma":[0.0002459145,0.0001558061,0.0003094863,0.00009032914,0.0002113434,0.000305939,0.0001576368,0.0005029418,0.0002195595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001164669,"about_ca_system_score_gemma":0.0001580444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005776291,"about_ca_topic_score_gemma":0.0005434435,"domain_scores_codex":[0.99983,0.00003518641,0.00001409387,0.00002947379,0.00005184358,0.00003943901],"domain_scores_gemma":[0.9998792,0.00003212885,0.00004313582,0.0000135283,0.00001323014,0.0000186793],"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":[0.0002160621,0.00006811649,0.0001019288,0.00005007023,0.00001661588,0.00005675318,0.00001590295,0.00005819903,0.9959014,0.00006381424,0.00006323117,0.003387936],"study_design_scores_gemma":[0.00004636951,0.001097628,0.001358413,0.000004759054,0.00004063865,0.000124001,0.00001318973,0.0005081902,0.9955128,0.00001476945,0.001274174,0.000005092595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952127,0.001433145,0.002055757,0.00007659898,0.00008597746,0.00004138215,0.00003736449,0.00003563131,0.001021405],"genre_scores_gemma":[0.9959183,0.000730082,0.001735318,0.00004801165,0.00002618754,0.00001837074,0.00005760926,0.00001458561,0.001451502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001074224,"threshold_uncertainty_score":0.003593624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977742200180942,"score_gpt":0.2853518552026272,"score_spread":0.2555744332008178,"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."}}