{"id":"W4200593047","doi":"10.1182/hematology.2021000291","title":"Prevention and management of venous thromboembolism in pregnancy: cutting through the practice variation","year":2021,"lang":"en","type":"article","venue":"Hematology","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Foothills Medical Centre; University of Calgary","funders":"","keywords":"Medicine; Venous thromboembolism; Pregnancy; Thrombophilia; Clinical Practice; Low molecular weight heparin; Intensive care medicine; Dosing; Obstetrics; Heparin; Thrombosis; Surgery; Nursing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001473833,0.00006039369,0.0002432516,0.00002490388,0.00003747713,0.000005151753,0.00002734966,0.00006605464,0.00004197232],"category_scores_gemma":[0.00006703706,0.00004922166,0.00002602217,0.0001668023,0.00002577578,0.00008417912,0.00004848665,0.00008215389,0.000004454967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001179981,"about_ca_system_score_gemma":0.0000347103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001637225,"about_ca_topic_score_gemma":0.000009950058,"domain_scores_codex":[0.9992764,0.000124448,0.0002326284,0.0001558296,0.0001077357,0.0001029647],"domain_scores_gemma":[0.9995175,0.00008571499,0.0001313359,0.0001825601,0.00006870434,0.00001417019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002705349,0.0007352639,0.0006641127,0.0006813961,0.000215495,0.0001347528,0.003653099,0.000007001475,0.001697613,0.9852971,0.00003056141,0.006856525],"study_design_scores_gemma":[0.01481113,0.001303188,0.4770692,0.009980654,0.003431515,0.007874911,0.02359466,0.002565759,0.09922636,0.3512858,0.008183209,0.0006736974],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82906,0.01993736,0.04374367,0.03027775,0.001037682,0.002775837,0.000003144191,0.0001365965,0.07302798],"genre_scores_gemma":[0.9850172,0.0007851864,0.01366842,0.000350479,0.00001195628,0.00002767151,0.000007158499,0.000008098758,0.0001237995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6340114,"threshold_uncertainty_score":0.2007201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909845804349793,"score_gpt":0.3252570940142331,"score_spread":0.2961586359707352,"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."}}