{"id":"W2509642739","doi":"10.3747/co.23.3077","title":"Venous Thromboembolism Prevention During Asparaginase-Based Therapy for Acute Lymphoblastic Leukemia","year":2016,"lang":"en","type":"article","venue":"Current Oncology","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"LEO Pharma; Merck Canada; Sanofi; Amgen","keywords":"Medicine; Regimen; Asparaginase; Chemotherapy; Venous thrombosis; Internal medicine; Thrombosis; Low molecular weight heparin; Surgery; Complication; Chemotherapy regimen; Lymphoblastic Leukemia; Leukemia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0003135169,0.0003100149,0.0007612059,0.0002674504,0.0001687031,0.00001748574,0.0002593659,0.0002649201,0.0002551753],"category_scores_gemma":[0.0002891102,0.0002097674,0.0002591574,0.0002228696,0.0002782308,0.0001124587,0.00007486652,0.0001973302,0.0002096001],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005418981,"about_ca_system_score_gemma":0.004134185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009492378,"about_ca_topic_score_gemma":0.000005761772,"domain_scores_codex":[0.997565,0.0001378452,0.0004515153,0.0006092888,0.0004065449,0.0008298566],"domain_scores_gemma":[0.9980191,0.0006541415,0.0001927051,0.0005014659,0.0003182385,0.000314337],"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":[0.01255669,0.004666318,0.004414528,0.0007115745,0.001321852,0.000372718,0.0004574063,0.00003555113,0.2168919,0.0008654007,0.02263027,0.7350758],"study_design_scores_gemma":[0.234869,0.03345703,0.1356681,0.002940584,0.00258363,0.001779227,0.0001402877,0.009713302,0.2028877,0.005516835,0.368353,0.002091358],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646055,0.0008828117,0.02882802,0.001676179,0.001415962,0.0018732,0.00008398978,0.0001992774,0.00043504],"genre_scores_gemma":[0.9950314,0.0007745022,0.001117399,0.0002048504,0.0009714435,0.0008073995,0.000107148,0.0000889145,0.0008969942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7329844,"threshold_uncertainty_score":0.998399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06961751553755374,"score_gpt":0.4072603123504083,"score_spread":0.3376427968128546,"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."}}