{"id":"W2007790489","doi":"10.1016/s0305-7372(03)80005-1","title":"Can we optimise treatment of thrombosis?","year":2003,"lang":"en","type":"review","venue":"Cancer Treatment Reviews","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Juravinski Hospital","funders":"","keywords":"Medicine; Thrombosis; Anticoagulant; Concomitant; Low molecular weight heparin; Heparin; Venous thrombosis; Cancer; Surgery; Venous thromboembolism; Anticoagulant therapy; Internal medicine; Intensive care 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0001349326,0.001313516,0.010291,0.000275376,0.00008753685,0.00002509547,0.0001849132,0.0002993669,0.001621972],"category_scores_gemma":[0.000009586752,0.0007583587,0.002871719,0.0004956278,0.0001017014,0.00003880247,0.00003266985,0.0001072634,0.0002156755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003272429,"about_ca_system_score_gemma":0.0008673078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005375471,"about_ca_topic_score_gemma":0.0001254928,"domain_scores_codex":[0.9962443,0.0002834808,0.001642872,0.0009584712,0.0002825808,0.0005882758],"domain_scores_gemma":[0.9968337,0.00007098469,0.001139723,0.001535072,0.00006398296,0.000356572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004505776,0.002730387,0.00001887458,0.02868256,0.002826493,0.00003349726,0.0001813546,7.07105e-7,2.880068e-7,0.0001102859,0.006583425,0.9588276],"study_design_scores_gemma":[0.001295796,0.002024482,0.000008061934,0.03720951,0.02996701,0.00002019207,0.00001427595,3.289294e-7,0.0000102616,0.000008983237,0.9289753,0.0004658245],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003830148,0.9826739,0.00000251651,0.0003093418,0.0005411201,0.009689411,0.0002065357,0.00004963224,0.006523733],"genre_scores_gemma":[0.000001088016,0.9833057,0.0005871753,0.0001389028,0.0003221848,0.009509991,0.0003378282,0.0001454186,0.005651742],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9583618,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1937603845603075,"score_gpt":0.4306140684639382,"score_spread":0.2368536839036307,"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."}}