{"id":"W2084937952","doi":"10.4018/jgim.2005010101","title":"Developing a Generic Framework for E-Government","year":2005,"lang":"en","type":"article","venue":"Journal of Global Information Management","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":284,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Conceptualization; Variety (cybernetics); Vision; Government (linguistics); Construct (python library); Identification (biology); Key (lock); Categorization; E-Government; Developing country; Portfolio; Process management; Business; Computer science; Management science; Knowledge management; Public relations; Political science; Economics; Sociology; Economic growth; Finance; World Wide Web; Computer security; Artificial intelligence; Information and Communications Technology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01460084,0.001287394,0.001231843,0.006065695,0.004216885,0.00984901,0.005044622,0.006851769,0.004677758],"category_scores_gemma":[0.009267719,0.000906105,0.00322516,0.008126477,0.01028422,0.0141128,0.006333017,0.005174251,0.001796017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008344715,"about_ca_system_score_gemma":0.01172205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01445074,"about_ca_topic_score_gemma":0.01221582,"domain_scores_codex":[0.988648,0.006576212,0.001298294,0.001276295,0.001309963,0.0008912297],"domain_scores_gemma":[0.9947538,0.002087282,0.0004560075,0.0008421059,0.001377151,0.0004836707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003347633,0.0000196993,0.0002292597,0.00008933943,0.000006874796,0.00008891528,0.001124415,0.002116468,0.00009820049,0.9893786,0.001450354,0.0053945],"study_design_scores_gemma":[0.00002630996,0.00004690226,0.0007232032,0.0007314344,0.00002350116,0.0004879342,0.00388248,0.02111723,0.0003399806,0.8123826,0.1601887,0.00004966061],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005156357,0.001058338,0.915971,0.01074245,0.0002932988,0.001302016,0.0004053123,0.0005935601,0.06447773],"genre_scores_gemma":[0.1020181,0.001321207,0.8879599,0.001249859,0.0001073329,0.001966133,0.0008223575,0.0001131377,0.004442014],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01460084,"threshold_uncertainty_score":0.07721758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647096701078706,"score_gpt":0.320383007167481,"score_spread":0.293912040156694,"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."}}