{"id":"W2178140548","doi":"","title":"El gobierno electrónico y la rendición de cuentas en la administración regional y estatal: An International Comparison","year":2013,"lang":"es","type":"article","venue":"Gestión y Política Pública","topic":"Local Government Finance and Decentralization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001569713,0.0001563707,0.0002290062,0.003669952,0.0008717452,0.003953185,0.0003580941,0.0003478389,0.009217588],"category_scores_gemma":[0.005283534,0.0001348675,0.0002104016,0.01118282,0.001836883,0.002411427,0.002057647,0.0004294354,0.0007317771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003727952,"about_ca_system_score_gemma":0.002244746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08243673,"about_ca_topic_score_gemma":0.1147041,"domain_scores_codex":[0.9986797,0.0004606949,0.00007510844,0.0002054758,0.0003292851,0.0002496417],"domain_scores_gemma":[0.9954848,0.00127536,0.001531637,0.0003723775,0.001037779,0.0002979406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005783239,0.0001439337,0.5760169,0.001148378,0.0001764473,0.0009514049,0.08117756,0.001766334,0.002271011,0.1097711,0.009694285,0.2163043],"study_design_scores_gemma":[0.000009645129,0.00008759586,0.8017701,0.0004084626,0.00007194137,0.0002735029,0.07443692,0.0004022476,0.0005690366,0.001371983,0.1205702,0.00002828841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8743594,0.00470311,0.001121273,0.001941771,0.00004018561,0.00003142591,0.00105891,0.00005934519,0.1166846],"genre_scores_gemma":[0.990094,0.002016712,0.0003121567,0.000067204,0.00001736487,0.00001041672,0.0002495227,0.00001769995,0.007214986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08243673,"threshold_uncertainty_score":0.1639138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767078266654878,"score_gpt":0.3636987181427843,"score_spread":0.3460279354762355,"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."}}