{"id":"W2504010710","doi":"10.4018/978-1-60960-848-4.ch006","title":"Extension of E-Government","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Business process reengineering; Government (linguistics); E-Government; Business; Extension (predicate logic); Process management; Service (business); Transformation (genetics); Knowledge management; Computer science; Information and Communications Technology; Marketing; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003397347,0.0002514579,0.0003564386,0.0000173814,0.0001483637,0.00004001144,0.000510682,0.0004304615,0.001051555],"category_scores_gemma":[0.00002514823,0.0002420588,0.0002060711,0.00001549381,0.0003349352,0.00006769841,0.0001819304,0.0001425924,0.0001502909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003948782,"about_ca_system_score_gemma":0.0001949837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785317,"about_ca_topic_score_gemma":0.004555658,"domain_scores_codex":[0.9974923,0.00003185275,0.0003296235,0.0003367029,0.00151215,0.0002973788],"domain_scores_gemma":[0.9988985,0.00004159977,0.0004139181,0.0003798965,0.00009846222,0.000167638],"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":[0.00002945081,0.00001212011,0.0001354725,0.00002104221,0.00005389603,0.00000853724,0.0007855103,3.503297e-8,0.00000841719,0.9887246,0.004015767,0.006205102],"study_design_scores_gemma":[0.0001648741,0.00007135048,0.000177445,0.0001596351,0.00007657458,0.000001018763,0.0004448055,3.518183e-7,0.00005417591,0.4290581,0.5695028,0.0002889077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004840571,0.0003509785,0.000007103456,0.0001491646,0.0006757113,0.0002654885,0.0001540112,0.00005895369,0.9978545],"genre_scores_gemma":[0.3719338,0.00007449969,0.0001336636,0.0005764943,0.0005414297,0.000005950381,0.000002345069,0.00002978021,0.626702],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.565487,"threshold_uncertainty_score":0.9998616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03289104772660164,"score_gpt":0.265080980031729,"score_spread":0.2321899323051273,"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."}}