{"id":"W2132351613","doi":"10.12927/whp.2007.19514","title":"Decentralization and Health Resource Allocation: A Case Study at the District Level in Indonesia","year":2007,"lang":"en","type":"article","venue":"World health & population","topic":"Healthcare Systems and Reforms","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decentralization; Resource allocation; Health policy; Public health; Resource (disambiguation); Environmental health; Geography; Economic growth; Business; Political science; Medicine; Economics; Nursing; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004217733,0.0001277112,0.0003342721,0.0003529077,0.0005574247,0.00003361692,0.00006252159,0.00005557768,0.0000106326],"category_scores_gemma":[0.00002358934,0.0001044289,0.00002720438,0.0008092546,0.00001782023,0.0001221118,0.00003413879,0.0001660694,0.00001093266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221345,"about_ca_system_score_gemma":0.00005775548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1752649,"about_ca_topic_score_gemma":0.3668336,"domain_scores_codex":[0.9977127,0.00009959733,0.001334507,0.0003498215,0.00007527581,0.0004281059],"domain_scores_gemma":[0.9988305,0.00003099823,0.0006704427,0.0002654599,0.00002029879,0.0001823105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001159528,0.00007009048,0.9467419,0.00008442679,0.000004122411,0.00001324417,0.003855385,0.00007900137,3.216288e-8,0.005651508,0.0002326526,0.04325607],"study_design_scores_gemma":[0.0005336241,0.00008402292,0.9896577,0.00003470507,5.321159e-7,0.00007898936,0.001454453,0.000401212,1.198175e-7,0.0001824145,0.007470845,0.0001013646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817652,0.002875625,0.001878299,0.01155417,0.0002339752,0.00150324,0.00002162016,0.00002709349,0.000140787],"genre_scores_gemma":[0.997878,0.0001025152,0.00006896319,0.001289284,0.0001157653,0.00002672391,0.0001010273,0.00001869299,0.0003990617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1915687,"threshold_uncertainty_score":0.8302271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117281275025053,"score_gpt":0.3427362372668897,"score_spread":0.2310081097643844,"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."}}