{"id":"W2040323804","doi":"10.1016/j.healthpol.2007.05.009","title":"Priority-setting for healthcare: Who, how, and is it fair?","year":2007,"lang":"en","type":"article","venue":"Health Policy","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"","keywords":"Health care; Accountability; Set (abstract data type); Sample (material); Public health; Public relations; Identification (biology); Perspective (graphical); Business; Psychology; Medicine; Nursing; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.02910384,0.0002476092,0.001115079,0.0006254557,0.0006623996,0.0001135026,0.0002089603,0.0002258793,0.00004351278],"category_scores_gemma":[0.003820275,0.000334507,0.0001172238,0.0003155365,0.00007881557,0.0003708005,0.00006417561,0.000260401,0.0002564802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264233,"about_ca_system_score_gemma":0.0009340118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0114642,"about_ca_topic_score_gemma":0.001572192,"domain_scores_codex":[0.9941621,0.0002081903,0.003533572,0.0007290195,0.0001033176,0.001263736],"domain_scores_gemma":[0.9949346,0.001391032,0.002297431,0.000516642,0.00009472031,0.0007655566],"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":[0.00002752401,0.00005421589,0.02541624,0.003352818,0.00003789829,5.943591e-7,0.01628588,0.000001744358,8.138887e-7,0.6171595,0.3278903,0.009772502],"study_design_scores_gemma":[0.001155376,0.0002428514,0.03225534,0.0001423128,0.000002186519,0.00001206989,0.002077049,0.0008380238,0.000004844665,0.0249175,0.9379838,0.0003687136],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02023906,0.004352964,0.0138974,0.9566554,0.0004928132,0.001834966,0.0006335375,0.00008198648,0.001811882],"genre_scores_gemma":[0.3174524,0.001353927,0.01732998,0.6552305,0.003966189,0.0001875766,0.00005681563,0.0001107375,0.004311963],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6100935,"threshold_uncertainty_score":0.9999107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4356439335845766,"score_gpt":0.5325355661361424,"score_spread":0.09689163255156574,"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."}}