{"id":"W1986924310","doi":"10.1016/j.jval.2014.08.591","title":"Cost-Utility of Cancer Therapies – the 'Cost' of Different Utility Generation Strategies","year":2014,"lang":"en","type":"article","venue":"Value in Health","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Quality-adjusted life year; Medicine; Nice; Cost effectiveness; Population; Cost–utility analysis; Cost–benefit analysis; Incremental cost-effectiveness ratio; Cancer; Economic evaluation; Statistics; Actuarial science; Computer science; Mathematics; Environmental health; Internal medicine; Economics; Risk analysis (engineering)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01300507,0.001092135,0.001487751,0.001851488,0.0004072284,0.00442892,0.001660832,0.002360041,0.00603418],"category_scores_gemma":[0.06428408,0.0006617224,0.00179157,0.00250599,0.002226663,0.007034035,0.001533759,0.003405065,0.0003546395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004277979,"about_ca_system_score_gemma":0.001750313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020101,"about_ca_topic_score_gemma":0.002280185,"domain_scores_codex":[0.9874266,0.00945543,0.0003510647,0.000469931,0.001840398,0.0004565356],"domain_scores_gemma":[0.9592316,0.03638368,0.001033306,0.001773375,0.001250599,0.0003273853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002078448,0.0003351899,0.01122154,0.0009005733,0.00139497,0.0002629328,0.0002722784,0.3772913,0.0009721498,0.3544604,0.005065802,0.2457445],"study_design_scores_gemma":[0.0003457558,0.0008830408,0.01742482,0.0008896344,0.001308239,0.001027165,0.0006026584,0.3399071,0.00196053,0.6197722,0.01567466,0.0002041965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3739399,0.06066955,0.4130594,0.04648168,0.001253835,0.0009805637,0.00442799,0.0003672738,0.09881989],"genre_scores_gemma":[0.9729074,0.005448353,0.01708119,0.0007278582,0.000324876,0.0001857131,0.0003668192,0.00006611356,0.002891679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01300507,"threshold_uncertainty_score":0.06877816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5830415155944473,"score_gpt":0.4660530533402498,"score_spread":0.1169884622541975,"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."}}