{"id":"W2161365452","doi":"10.1145/1930321.1930336","title":"Setback and remedy of local e-government projects","year":2010,"lang":"en","type":"article","venue":"","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Setback; Implementation; Government (linguistics); Sustainability; Process (computing); E-Government; Local government; Business; Process management; Public relations; Knowledge management; Political science; Computer science; Engineering; Public administration; Information and Communications Technology; Civil engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004716127,0.0000500045,0.00007490084,0.000008712851,0.00009365781,0.000033349,0.0001376053,0.00006573447,0.0009797374],"category_scores_gemma":[0.00004111724,0.00004017277,0.00001798478,0.00009337274,0.0002928888,0.0001623519,0.00005491041,0.00007361246,0.00001010145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002143897,"about_ca_system_score_gemma":0.00006167324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003431644,"about_ca_topic_score_gemma":0.02685907,"domain_scores_codex":[0.9990215,0.00002840923,0.00009620177,0.0001127339,0.0005956407,0.0001454714],"domain_scores_gemma":[0.9996707,0.00007254292,0.00005252701,0.00009766773,0.00002906289,0.00007749606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003488295,0.0001697857,0.2149633,0.00005585128,0.00003591053,0.000002133917,0.01814764,2.872948e-7,0.00534721,0.7171845,0.008721643,0.0353368],"study_design_scores_gemma":[0.0008770589,0.0001739904,0.06687377,0.00002395611,0.00002990088,0.000001566923,0.1617361,0.000201873,0.01604317,0.003101409,0.7505443,0.0003929182],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6275127,0.0000145151,0.00003424971,0.00215753,0.000162962,0.0001002847,0.0000023958,0.0000189127,0.3699965],"genre_scores_gemma":[0.9936805,0.00002727741,0.000455261,0.0002559692,0.0001077566,0.000003114611,5.505676e-7,0.000003218177,0.005466352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7418227,"threshold_uncertainty_score":0.9999335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446173839888429,"score_gpt":0.2730897337920803,"score_spread":0.2586279953931961,"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."}}