{"id":"W4319461047","doi":"10.1161/jaha.122.028056","title":"Chymase Inhibition Resolves and Prevents Deep Vein Thrombosis Without Increasing Bleeding Time in the Mouse Model","year":2023,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Mast cells and histamine","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University; Université de Montréal; Université de Sherbrooke","funders":"Canadian Institutes of Health Research; Réseau Québécois de Recherche sur les Médicaments; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Medicine; Thrombus; Inferior vena cava; Thrombosis; Pulmonary embolism; Ex vivo; Venous thrombosis; Heparin; Pathology; Pharmacology; Internal medicine; In vivo","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":[0.0005113415,0.001177545,0.0005946446,0.001174758,0.0003312527,0.0005539408,0.0007125903,0.001062202,0.00307018],"category_scores_gemma":[0.0002308386,0.0004567487,0.0008011883,0.0004267701,0.0005985264,0.0005018452,0.0002595202,0.002627151,0.001012061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005187802,"about_ca_system_score_gemma":0.0004178669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006419934,"about_ca_topic_score_gemma":0.0009045742,"domain_scores_codex":[0.9994798,0.00006633632,0.00007549182,0.0001196515,0.000132995,0.0001256575],"domain_scores_gemma":[0.9994616,0.00005602259,0.0001928426,0.00006777634,0.00004111384,0.0001805657],"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":[0.001242261,0.0006051671,0.0003372187,0.000112827,0.00002663322,0.0001278271,0.00003379657,0.0001297328,0.9943945,0.0003830563,0.0003642027,0.002242662],"study_design_scores_gemma":[0.0003462796,0.003464052,0.002948464,0.00003158432,0.00007513558,0.0005951919,0.00004659672,0.001528977,0.985801,0.0001918071,0.004957128,0.00001373318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775155,0.003791139,0.0104502,0.0009163769,0.0004247068,0.0002328949,0.002948562,0.0007189094,0.003001633],"genre_scores_gemma":[0.9647114,0.004065632,0.01000713,0.0003567116,0.0001199984,0.0006980585,0.003196266,0.0001453443,0.01669953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00307018,"threshold_uncertainty_score":0.01027077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323719155654188,"score_gpt":0.2548272071349477,"score_spread":0.2415900155784058,"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."}}