{"id":"W2988383085","doi":"10.1182/bloodadvances.2019031112","title":"Thrombus stability explains the factor V Leiden paradox: a mouse model","year":2019,"lang":"en","type":"article","venue":"Blood Advances","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"National Heart, Lung, and Blood Institute","keywords":"Thrombus; Medicine; Factor V Leiden; Pulmonary embolism; Embolization; Thrombosis; Femoral vein; Asymptomatic; Embolism; Deep vein; Venous thrombosis; Cardiology; Internal medicine; Radiology; Pathology","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":[0.0006977271,0.0009404272,0.0005901615,0.001491762,0.0004293024,0.000719867,0.0008890734,0.001648853,0.003137184],"category_scores_gemma":[0.0006360448,0.0004173251,0.000551262,0.0004899839,0.0007392153,0.0008056171,0.0005618358,0.002140675,0.0008860425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005404539,"about_ca_system_score_gemma":0.000306815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003989013,"about_ca_topic_score_gemma":0.0005169043,"domain_scores_codex":[0.9995528,0.0001082493,0.00005344819,0.0001047594,0.0001172419,0.00006344673],"domain_scores_gemma":[0.99946,0.00009801248,0.0001690714,0.00008391739,0.00003642979,0.0001525646],"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":[0.001605022,0.0009945192,0.002400121,0.0002620594,0.00007812952,0.002316652,0.000149612,0.0005404957,0.9675537,0.009583389,0.003024888,0.01149163],"study_design_scores_gemma":[0.003859245,0.01098743,0.02751605,0.000618841,0.0007748064,0.04336512,0.000380358,0.03516315,0.7728307,0.02150415,0.08279318,0.0002069685],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474424,0.007549923,0.02984564,0.004560996,0.0004744305,0.0003125625,0.002106476,0.0008137673,0.006893808],"genre_scores_gemma":[0.9653175,0.005393942,0.01388218,0.001359742,0.0002466997,0.0005137874,0.001787144,0.0002044438,0.01129459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003137184,"threshold_uncertainty_score":0.01049489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03907083807189455,"score_gpt":0.2863774643388191,"score_spread":0.2473066262669246,"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."}}