{"id":"W2145586680","doi":"10.5539/cis.v4n4p120","title":"Study on the E-government Call Center System Based on SOA","year":2011,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Flexibility (engineering); Government (linguistics); Center (category theory); Architecture; Service (business); Service-oriented architecture; Plan (archaeology); Value (mathematics); E-Government; Software engineering; World Wide Web; Web service; Business; Management","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":[0.0006575671,0.0001261873,0.00008782952,0.000126798,0.0004030461,0.0004016657,0.001259213,0.00001758065,0.000003076955],"category_scores_gemma":[0.000003906618,0.0000727404,0.00002505105,0.0005284761,0.00007049614,0.002004187,0.0003517041,0.0001008134,0.00007958274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004658693,"about_ca_system_score_gemma":0.00004086904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000143137,"about_ca_topic_score_gemma":0.000001811492,"domain_scores_codex":[0.998405,0.00004747984,0.0002276914,0.0002310218,0.0008697099,0.0002190822],"domain_scores_gemma":[0.9990352,0.00007232938,0.0001062892,0.000597528,0.00009135685,0.0000973212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001318725,0.00111499,0.0190005,0.0001472607,0.00003957576,0.00002136088,0.1777109,0.00274425,0.00005394045,0.6448392,0.001251639,0.1529445],"study_design_scores_gemma":[0.000902507,0.001274826,0.1423317,0.0001110433,0.00000483174,0.00001646004,0.00214173,0.845955,0.001294887,0.00007213133,0.005600847,0.0002940965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2525426,0.000003135461,0.6636326,0.001006424,0.001332211,0.0007822278,0.000006067008,0.0002293484,0.08046539],"genre_scores_gemma":[0.9885685,4.446479e-7,0.002491812,0.008888347,0.00003103818,0.00001471481,5.228613e-7,0.000001767711,0.000002828701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8432107,"threshold_uncertainty_score":0.3873271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01860995869747045,"score_gpt":0.2119004289703494,"score_spread":0.1932904702728789,"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."}}