{"id":"W4238634136","doi":"10.1182/asheducation.v2012.1.517.3798536","title":"Pharmacologic tools to reduce bleeding in surgery","year":2012,"lang":"en","type":"article","venue":"Hematology","topic":"Blood transfusion and management","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Thrombosis and Atherosclerosis Research Institute","funders":"","keywords":"Medicine; Tranexamic acid; Aprotinin; Fondaparinux; Thromboelastography; Thromboelastometry; Prothrombin complex concentrate; Recombinant factor VIIa; Hemostasis; Antithrombotic; Anesthesia; Bleeding diathesis; Aspirin; Antifibrinolytic; Rivaroxaban; Surgery; Coagulation; Thrombosis; Coagulopathy; Blood loss; Internal medicine; Warfarin; Platelet; Atrial fibrillation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003198077,0.0000764027,0.0002920585,0.0001985169,0.0000188008,0.000003334994,0.00003695403,0.00006116761,0.0007321807],"category_scores_gemma":[0.00008855437,0.00006637893,0.0000456097,0.0002161535,0.00001654468,0.00005661317,0.00003473838,0.0001043412,0.0003123049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002346469,"about_ca_system_score_gemma":0.00001896569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001111339,"about_ca_topic_score_gemma":0.000004903287,"domain_scores_codex":[0.9992179,0.00003215012,0.0001983439,0.0001305227,0.000075179,0.0003459092],"domain_scores_gemma":[0.9995739,0.0001320856,0.0000208463,0.0001048437,0.00001436635,0.0001539615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006249952,0.002148088,0.593057,0.0007360521,0.0001752753,0.0007980256,0.001950786,0.000003982717,0.06918606,0.04181993,0.2407994,0.04870041],"study_design_scores_gemma":[0.004743802,0.0002258718,0.3502353,0.0003979253,0.0003130723,0.002064209,0.001523369,0.00003801399,0.2090494,0.0002279531,0.4305632,0.000617888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97602,0.0004336966,0.0001276366,0.008737637,0.0006700367,0.0003848925,4.393939e-7,0.00006569758,0.01355991],"genre_scores_gemma":[0.9931974,0.00007971834,0.0005531345,0.005612402,0.00009035762,0.00006809591,0.000002963903,0.000008834425,0.0003870533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2428216,"threshold_uncertainty_score":0.8016865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09205730864545487,"score_gpt":0.3541457574694164,"score_spread":0.2620884488239615,"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."}}