{"id":"W4391991818","doi":"10.1126/scitranslmed.adh0027","title":"Lipid nanoparticles and siRNA targeting plasminogen provide lasting inhibition of fibrinolysis in mouse and dog models of hemophilia A","year":2024,"lang":"en","type":"article","venue":"Science Translational Medicine","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Queen's University; University of British Columbia","funders":"National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Antifibrinolytic; Fibrinolysis; Plasmin; Hemostasis; Medicine; Pharmacology; Bleeding time; Immunology; Tranexamic acid; Internal medicine; Surgery; Chemistry; Platelet; Biochemistry; Platelet aggregation","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":[0.0006629997,0.0005486515,0.0005135549,0.0009254395,0.0002206061,0.0005246316,0.0004434581,0.0009693672,0.001759913],"category_scores_gemma":[0.0002609655,0.0003259221,0.0005031852,0.0003459881,0.0005943187,0.0005439874,0.0002144957,0.001453494,0.0004951131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004988116,"about_ca_system_score_gemma":0.0003937278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006876756,"about_ca_topic_score_gemma":0.000945911,"domain_scores_codex":[0.9993881,0.0001469376,0.00007888652,0.00014709,0.0001517191,0.00008732983],"domain_scores_gemma":[0.9996086,0.00005132154,0.0001545063,0.00004551556,0.00003728839,0.0001027173],"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":[0.0008754635,0.0005265956,0.0001666002,0.0001125095,0.00002797844,0.00008933587,0.00004765015,0.000273526,0.9934406,0.0005121414,0.0004419788,0.003485801],"study_design_scores_gemma":[0.0002566984,0.00482918,0.001943814,0.00001963028,0.00007809687,0.0005845028,0.00005858469,0.00317951,0.9814507,0.0001907053,0.007388547,0.0000200165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703006,0.003652945,0.01945232,0.0009717501,0.0002570526,0.0002614021,0.0012811,0.0005924713,0.00323036],"genre_scores_gemma":[0.9745027,0.003078158,0.01185044,0.00025044,0.0000576843,0.0005586094,0.001369983,0.00009803227,0.008233881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001759913,"threshold_uncertainty_score":0.005887508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03837369638213925,"score_gpt":0.3127671253082089,"score_spread":0.2743934289260697,"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."}}