{"id":"W2974951843","doi":"10.3324/haematol.2019.227876","title":"Antithrombotic prophylaxis for surgery-associated venous thromboembolism risk in patients with inherited platelet disorders. The SPATA-DVT Study","year":2019,"lang":"en","type":"article","venue":"Haematologica","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Fondazione Umberto Veronesi; Université de Strasbourg; Università degli Studi di Padova; Università degli Studi di Milano; Università degli Studi di Pavia; European Hematology Association","keywords":"Medicine; Antithrombotic; Low molecular weight heparin; Incidence (geometry); Thrombosis; Orthopedic surgery; Venous thromboembolism; Surgery; Anticoagulant; Venous thrombosis; Heparin; Intensive care medicine; 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":[0.0008444972,0.0003619679,0.0004725559,0.0006492256,0.0001703166,0.0003754982,0.0002064744,0.0003976196,0.0005883856],"category_scores_gemma":[0.001669763,0.0001587495,0.0007299383,0.0006604927,0.0001297342,0.0002097789,0.0003195867,0.0004576825,0.00009402702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568773,"about_ca_system_score_gemma":0.0002916213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009696448,"about_ca_topic_score_gemma":0.001263657,"domain_scores_codex":[0.9994556,0.0002560652,0.00008423485,0.00006237932,0.00009608341,0.00004566951],"domain_scores_gemma":[0.9987974,0.0002443773,0.0006150217,0.00006052814,0.00007525417,0.0002074059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002452117,0.0001111788,0.9923338,0.00005540445,0.000457271,0.00007425716,0.00002471452,0.00006489791,0.0004012136,0.00003141807,0.0001930455,0.003800645],"study_design_scores_gemma":[0.000418249,0.001427145,0.9964792,0.0000227355,0.0003701648,0.0004183718,0.00003293368,0.0002244067,0.0001028287,0.00003327299,0.0004670595,0.000003582464],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946775,0.004231914,0.0001144031,0.00008447974,0.00001768235,0.00003348104,0.0004410282,0.000002931014,0.0003966614],"genre_scores_gemma":[0.9979474,0.0007890363,0.000177345,0.00006636359,0.00004675679,0.00003832514,0.000808896,0.000001312694,0.000124599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009696448,"threshold_uncertainty_score":0.004466176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009453632389824723,"score_gpt":0.2252449972851209,"score_spread":0.2157913648952962,"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."}}