{"id":"W3016028986","doi":"10.1055/s-0040-1708035","title":"Thrombo-Inflammation in Cardiovascular Disease: An Expert Consensus Document from the Third Maastricht Consensus Conference on Thrombosis","year":2020,"lang":"en","type":"article","venue":"Thrombosis and Haemostasis","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"European Commission","keywords":"Medicine; Inflammation; Thrombosis; Disease; Vascular disease; Venous thrombosis; Myocardial infarction; Stroke (engine); Pathogenesis; Platelet; Immunology; Intensive care medicine; Cardiology; Bioinformatics; Internal 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06542999,0.001960247,0.005042346,0.006849355,0.002232296,0.006906634,0.006557884,0.01346606,0.006212054],"category_scores_gemma":[0.06369972,0.001197404,0.006404847,0.005592245,0.002050893,0.003608131,0.006005995,0.01230845,0.003985604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036782,"about_ca_system_score_gemma":0.04782522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01640726,"about_ca_topic_score_gemma":0.01600996,"domain_scores_codex":[0.9619308,0.01554542,0.008749758,0.001848888,0.009795984,0.002129184],"domain_scores_gemma":[0.9445879,0.01623265,0.005244045,0.001265396,0.02860694,0.004063119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003174426,0.0001344434,0.001785949,0.02127306,0.0008961764,0.0007050192,0.0009151022,0.00103137,0.0007048712,0.009424612,0.686586,0.276226],"study_design_scores_gemma":[0.0003135677,0.0001087256,0.003854286,0.06314597,0.001532085,0.000988349,0.000770342,0.0004882977,0.0004900794,0.008080309,0.9200877,0.000140337],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001531149,0.5200294,0.007127719,0.4062029,0.04528973,0.001809295,0.002269138,0.0001510687,0.01558956],"genre_scores_gemma":[0.03394178,0.6890941,0.05952353,0.1449072,0.02884039,0.008041994,0.01125643,0.0003066014,0.02408794],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.06542999,"threshold_uncertainty_score":0.346031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178852631524896,"score_gpt":0.3219311647988519,"score_spread":0.2040459016463623,"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."}}