{"id":"W2931513852","doi":"10.1097/md.0000000000014647","title":"Health utilities in cancer patients","year":2019,"lang":"en","type":"article","venue":"Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Medicine; Quality of life (healthcare); Quality-adjusted life year; Population; Cancer; Metric (unit); EQ-5D; Health care; Family medicine; Cohort; Preference; Prospective cohort study; Gerontology; Environmental health; Cost effectiveness; Surgery; Disease; Health related quality of life; Nursing; Statistics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003566242,0.0003321983,0.0005454932,0.001369723,0.0002477081,0.001369948,0.0004044782,0.0003884512,0.01252466],"category_scores_gemma":[0.01797706,0.00007638305,0.0007723645,0.00301144,0.0002816514,0.0007652992,0.0007594769,0.0007958498,0.001207993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001516635,"about_ca_system_score_gemma":0.0007866353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730798,"about_ca_topic_score_gemma":0.001180778,"domain_scores_codex":[0.9959605,0.002536808,0.0003763442,0.0003245785,0.0005660064,0.000235736],"domain_scores_gemma":[0.9949273,0.002615615,0.001284646,0.0002916383,0.0005531699,0.0003277405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001850876,0.0006070188,0.5386988,0.001703501,0.001391639,0.0003452269,0.001106385,0.01502308,0.0002536118,0.03111562,0.07725356,0.3306506],"study_design_scores_gemma":[0.0005647831,0.001507698,0.7516552,0.00156616,0.0008068629,0.002225212,0.001491149,0.03310023,0.0006903902,0.0688091,0.1373909,0.0001922738],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7277221,0.02161558,0.02188719,0.01872611,0.0005932041,0.001290066,0.09518681,0.0003376795,0.1126412],"genre_scores_gemma":[0.9781225,0.001722134,0.00303853,0.0008936487,0.0001029981,0.0006298734,0.01321172,0.00002037389,0.002258377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01252466,"threshold_uncertainty_score":0.0418992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3755076111960893,"score_gpt":0.4735282303026369,"score_spread":0.09802061910654758,"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."}}