{"id":"W2044900838","doi":"10.1016/j.socscimed.2006.09.029","title":"Priority setting in health care using multi-attribute utility theory and programme budgeting and marginal analysis (PBMA)","year":2006,"lang":"en","type":"article","venue":"Social Science & Medicine","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; Canadian Centre for Applied Research in Cancer Control; BC Cancer Agency","funders":"","keywords":"Metropolitan area; Marginal utility; Health services; Function (biology); Public economics; Health care; Actuarial science; Health economics; Service (business); Operations research; Economics; Business; Medicine; Economic growth; Environmental health; Marketing; Microeconomics; Engineering; Population","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":[0.01793555,0.001298801,0.003863967,0.002785756,0.0008546644,0.004247341,0.002465788,0.001473449,0.004916129],"category_scores_gemma":[0.04465682,0.001710958,0.003448215,0.004002446,0.002268962,0.005679269,0.002707084,0.003220062,0.0002431862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004426871,"about_ca_system_score_gemma":0.003519884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218945,"about_ca_topic_score_gemma":0.006841798,"domain_scores_codex":[0.983526,0.01360052,0.000439985,0.000769583,0.001051855,0.0006120911],"domain_scores_gemma":[0.9789262,0.01891855,0.0005305732,0.0005098986,0.0007530806,0.0003615776],"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":[0.0001782948,0.0002646155,0.002692855,0.0003382112,0.0004182002,0.0001111834,0.0005534408,0.4783914,0.0001916162,0.4655634,0.00193032,0.04936644],"study_design_scores_gemma":[0.00003702151,0.00006548381,0.000719284,0.00005145204,0.00008206024,0.00004659596,0.000105347,0.713411,0.00008894304,0.2845733,0.0007874487,0.00003201342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01710488,0.0007673106,0.9788938,0.0007332983,0.00008025557,0.0001838269,0.000123765,0.00007960519,0.002033169],"genre_scores_gemma":[0.6707811,0.001373781,0.3226597,0.0001829803,0.0001679897,0.0009127363,0.0002361059,0.0001099522,0.003575738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01793555,"threshold_uncertainty_score":0.09485346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2251768744689173,"score_gpt":0.4616834306242965,"score_spread":0.2365065561553791,"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."}}