{"id":"W2989332698","doi":"10.1182/blood-2019-129140","title":"The Development and Application of a Clinical Severity Scoring Model for Post-Operative Venous Thromboembolism (VTE)","year":2019,"lang":"en","type":"article","venue":"Blood","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nova Scotia Health Authority; Dalhousie University","funders":"","keywords":"Medicine; Rivaroxaban; Pulmonary embolism; Deep vein; Venous thrombosis; Clinical trial; Thrombosis; Physical therapy; Severity of illness; Compression stockings; Internal medicine; Surgery; Emergency medicine; Warfarin","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":[0.01589594,0.001270622,0.001018988,0.002527134,0.0006085197,0.002046696,0.001888647,0.001235839,0.001817594],"category_scores_gemma":[0.04038057,0.0004954942,0.001994865,0.001566965,0.0006012552,0.001189215,0.001275713,0.001846849,0.0004876727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002080536,"about_ca_system_score_gemma":0.002706789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01163754,"about_ca_topic_score_gemma":0.007492756,"domain_scores_codex":[0.9923468,0.005293063,0.0005810681,0.0007122132,0.0008057202,0.0002610957],"domain_scores_gemma":[0.9703957,0.02212744,0.002448465,0.0006430542,0.003900543,0.0004848402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007490738,0.0009551311,0.1388078,0.0003119347,0.0006563546,0.0004054942,0.0009174012,0.6369722,0.00157879,0.01408326,0.005432263,0.1991303],"study_design_scores_gemma":[0.00005271761,0.0003079629,0.008278685,0.0000539567,0.0000607195,0.0001119393,0.0001205098,0.984291,0.0001942935,0.005613141,0.0008750273,0.00004001661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.127789,0.0003573056,0.8646048,0.001214704,0.0001249099,0.001898435,0.001018127,0.0005629549,0.002429743],"genre_scores_gemma":[0.6058303,0.0002847382,0.3886172,0.0002476885,0.00007867302,0.002229656,0.001775338,0.00004395038,0.0008923843],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01589594,"threshold_uncertainty_score":0.08406675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02832772870369086,"score_gpt":0.335795548267351,"score_spread":0.3074678195636601,"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."}}