{"id":"W4303685384","doi":"10.3390/curroncol29100592","title":"Venetoclax in Combination with Azacitidine for the Treatment of Newly Diagnosed Acute Myeloid Leukemia: A Canadian Cost–Utility Analysis","year":2022,"lang":"en","type":"article","venue":"Current Oncology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; ABB (Canada); Université de Montréal","funders":"AbbVie Canada","keywords":"Venetoclax; Azacitidine; Medicine; Myeloid leukemia; Myeloid; Leukemia; Eltrombopag; Oncology; Internal medicine; Bioinformatics; Cancer research; Genetics; DNA methylation; Biology; Gene; Chronic lymphocytic leukemia","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.002692785,0.001055076,0.001384624,0.001686904,0.0007600148,0.001666372,0.001433215,0.0007545699,0.003619891],"category_scores_gemma":[0.006293206,0.0004489571,0.00295555,0.003049589,0.0004367339,0.0004800908,0.00066095,0.00135373,0.0001388866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04532144,"about_ca_system_score_gemma":0.04010052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9448947,"about_ca_topic_score_gemma":0.9361442,"domain_scores_codex":[0.9989052,0.0004851892,0.00003621933,0.00008716652,0.0003029832,0.0001832691],"domain_scores_gemma":[0.998001,0.001038374,0.0001414012,0.00005710588,0.000561248,0.0002006946],"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":[0.006914233,0.0007229702,0.03826158,0.002269465,0.005569071,0.000694336,0.0001911669,0.8282357,0.001065333,0.01605325,0.01978259,0.08024023],"study_design_scores_gemma":[0.003542692,0.001496153,0.05401384,0.000648158,0.007113696,0.0004165702,0.0004218558,0.9048249,0.0005431546,0.003948368,0.02279887,0.0002317851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8810133,0.03367102,0.01066102,0.006305192,0.0002137297,0.001723998,0.02434013,0.0001798489,0.04189168],"genre_scores_gemma":[0.9758701,0.007171263,0.006568689,0.0004936117,0.00003974136,0.0001936735,0.006472166,0.00003540703,0.0031552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05510527,"threshold_uncertainty_score":0.3288316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07053964643869572,"score_gpt":0.382065124239772,"score_spread":0.3115254778010763,"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."}}