{"id":"W2159762078","doi":"10.1186/1478-7547-2-3","title":"Health care priority setting: principles, practice and challenges","year":2004,"lang":"en","type":"article","venue":"Cost Effectiveness and Resource Allocation","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"Economic and Social Research Council; Institute of Management Research, College of Business Administration Seoul National University","keywords":"Management science; Health administration; Process (computing); Variety (cybernetics); Health economics; Rationing; Health services research; Health care; Set (abstract data type); Resource allocation; Politics; Core (optical fiber); Medicine; Process management; Operations research; Computer science; Economics; Public health; Political science; Business; Nursing; Management; Law","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":[0.1622708,0.001545171,0.002293444,0.007523915,0.009669056,0.02561328,0.008621985,0.01645712,0.003644003],"category_scores_gemma":[0.150315,0.001488095,0.001675887,0.008963939,0.0551002,0.01656157,0.01719037,0.02596107,0.001170873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02988597,"about_ca_system_score_gemma":0.06914601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01244811,"about_ca_topic_score_gemma":0.01181985,"domain_scores_codex":[0.8322757,0.1282251,0.0102238,0.005049754,0.02070245,0.003523219],"domain_scores_gemma":[0.8087099,0.1519482,0.007923614,0.00468195,0.01917585,0.007560628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004673467,0.0001375423,0.001048667,0.004785756,0.0000776205,0.0003440584,0.01808099,0.003917361,0.000169299,0.7443735,0.04897666,0.1780418],"study_design_scores_gemma":[0.00004590067,0.00007252218,0.0004385212,0.007584464,0.00002031201,0.0005590519,0.009995685,0.001668974,0.0001565292,0.872898,0.1064873,0.00007275883],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.002647297,0.06066298,0.1651304,0.7421585,0.003467887,0.0007518604,0.00008653737,0.0001644294,0.02493016],"genre_scores_gemma":[0.2010368,0.111127,0.5810327,0.09120835,0.006946295,0.003472364,0.0002432272,0.0002550419,0.004678128],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1622708,"threshold_uncertainty_score":0.8581805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159223203062431,"score_gpt":0.4124795820258501,"score_spread":0.196557261719607,"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."}}