{"id":"W231636059","doi":"","title":"Donor Assistance and Urban Service Delivery in Africa","year":2012,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Urban and Rural Development Challenges","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"United Nations University World Institute for Development Economics Research; Department for International Development; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Agency (philosophy); Economic growth; Government (linguistics); Service (business); Service delivery framework; Business; Development economics; Economics; Sociology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001172914,0.0004855194,0.000703852,0.0003161372,0.0004373308,0.0001825169,0.000660373,0.0007769659,0.00108001],"category_scores_gemma":[0.0001034636,0.0005154606,0.000137325,0.0002593431,0.0005982813,0.0004115067,0.0005495488,0.0009190814,0.0003124127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007603622,"about_ca_system_score_gemma":0.001098678,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001634983,"about_ca_topic_score_gemma":0.02622807,"domain_scores_codex":[0.9968479,0.0003548847,0.000618381,0.0008295507,0.0003922242,0.0009571055],"domain_scores_gemma":[0.9982299,0.0003415649,0.0003791707,0.000452875,0.0001481094,0.0004483949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002757756,0.0001271565,0.9436251,0.0001927179,0.00009707145,0.00002257507,0.02905614,0.000002073226,0.00001497459,0.005374752,0.02015123,0.001308617],"study_design_scores_gemma":[0.0006992734,0.00001700058,0.5372775,0.0005792398,0.00007513141,0.000007142294,0.007174059,0.00001960612,0.00001628462,0.001370454,0.4513595,0.001404817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8189629,0.02449344,0.000005170942,0.003363373,0.003523175,0.0005645195,0.00006613741,0.000174546,0.1488467],"genre_scores_gemma":[0.9860393,0.004719582,0.0008056354,0.0003378806,0.0008851762,0.0001110421,0.00002192881,0.00004327748,0.00703619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4312083,"threshold_uncertainty_score":0.9998332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0371555846128407,"score_gpt":0.2526370202545836,"score_spread":0.2154814356417429,"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."}}