{"id":"W3122537849","doi":"10.1186/s12913-021-06078-z","title":"Describing practices of priority setting and resource allocation in publicly funded health care systems of high-income countries","year":2021,"lang":"en","type":"article","venue":"BMC Health Services Research","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Canadian Centre for Applied Research in Cancer Control; Vancouver Coastal Health Research Institute; University of British Columbia","funders":"University of British Columbia","keywords":"Disinvestment; Health administration; Health care; Health informatics; Nursing research; Context (archaeology); Resource allocation; Health technology; Medicine; Health economics; Health services research; Public economics; Economics; Economic growth; Nursing","routes":{"ca_aff":true,"ca_fund":true,"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"],"consensus_categories":[],"category_scores_codex":[0.056359,0.0001724185,0.001354148,0.0008473207,0.0004032332,0.0001888863,0.0003757692,0.0001766454,0.00003061099],"category_scores_gemma":[0.003264946,0.0002250798,0.0000480426,0.0009415766,0.0001147421,0.0008189795,0.0002348253,0.0004449257,0.00002689776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001479194,"about_ca_system_score_gemma":0.003077721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1014021,"about_ca_topic_score_gemma":0.05088296,"domain_scores_codex":[0.9888587,0.003811908,0.005202013,0.0008003066,0.0004676532,0.0008593981],"domain_scores_gemma":[0.988683,0.003734401,0.005659972,0.0007590246,0.0007660233,0.0003976236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005717625,0.00008604317,0.8734544,0.04840213,0.00002753599,8.918272e-7,0.02417368,0.0002611923,0.000002090697,0.05317509,0.0001371235,0.0002226227],"study_design_scores_gemma":[0.002616805,0.0005141322,0.6906697,0.006865749,0.000004715564,0.00001558457,0.2583049,0.01297907,0.00005354411,0.001155418,0.02633443,0.0004859495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9148133,0.05633516,0.0001804229,0.02644956,0.0001929173,0.001503268,0.0002717384,0.00002658907,0.0002270285],"genre_scores_gemma":[0.9927831,0.001528179,0.003372896,0.001873463,0.0001600466,0.00009199163,0.0001093178,0.00003113729,0.00004989082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2341312,"threshold_uncertainty_score":0.971677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3640162669774991,"score_gpt":0.5025569411504781,"score_spread":0.1385406741729791,"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."}}