{"id":"W1564264163","doi":"10.1002/9781118445112.stat04914","title":"Utility in Health Studies","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Expected utility hypothesis; Preference; Measure (data warehouse); Von Neumann–Morgenstern utility theorem; EQ-5D; Cost–utility analysis; Utility theory; Subjective expected utility; Quality (philosophy); Quality-adjusted life year; Index (typography); Quality of life (healthcare); Scale (ratio); Actuarial science; Computer science; Mathematical economics; Economics; Health related quality of life; Microeconomics; Data mining; Medicine; Operations management; Cost effectiveness","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":[0.06606261,0.001542357,0.003129943,0.01713962,0.001119005,0.007782417,0.002157506,0.003277274,0.01784588],"category_scores_gemma":[0.2142183,0.0007223017,0.002149862,0.02302821,0.007338146,0.006253663,0.0054183,0.004726177,0.001714731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005392283,"about_ca_system_score_gemma":0.004442873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001979628,"about_ca_topic_score_gemma":0.001050654,"domain_scores_codex":[0.8833205,0.1007562,0.005189317,0.002930067,0.006934279,0.0008696003],"domain_scores_gemma":[0.7087209,0.2616992,0.01060406,0.008869754,0.008441701,0.001664516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001163219,0.00006244921,0.003631142,0.007141474,0.0005930404,0.0002534641,0.0007541961,0.005033186,0.0000557879,0.800953,0.03535669,0.1460492],"study_design_scores_gemma":[0.00004941092,0.00009380256,0.001810797,0.009125678,0.0002320562,0.0004009082,0.0005472866,0.003270418,0.00008400328,0.8926929,0.09164692,0.00004586607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.008266909,0.4790089,0.2884982,0.04379524,0.005105795,0.001504977,0.007620058,0.0004905387,0.1657095],"genre_scores_gemma":[0.5583772,0.2333077,0.1588937,0.01484757,0.01073909,0.006887338,0.005512935,0.0004675569,0.01096694],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06606261,"threshold_uncertainty_score":0.3493766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5193872081568031,"score_gpt":0.507696833223817,"score_spread":0.01169037493298608,"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."}}