{"id":"W4239673024","doi":"10.4018/978-1-4666-8358-7.ch034","title":"Government Services in Outlying Regions","year":2015,"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":"Université Laval","funders":"","keywords":"Government (linguistics); Perspective (graphical); Order (exchange); Business; Service (business); Public relations; E-Government; Marketing; Service delivery framework; Public economics; Political science; Economics; Computer science; Finance; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006208395,0.0003455329,0.0004015423,0.00003422416,0.0002284426,0.0002219006,0.0008050588,0.0005353558,0.000217545],"category_scores_gemma":[0.00001936249,0.0003578276,0.0001473747,0.00004005733,0.0001987949,0.0001669579,0.000264432,0.0002836654,0.0002518447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923098,"about_ca_system_score_gemma":0.0004126584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01034932,"about_ca_topic_score_gemma":0.1183289,"domain_scores_codex":[0.9966167,0.00005848992,0.0003784036,0.0004685262,0.00196823,0.0005096766],"domain_scores_gemma":[0.9988488,0.00005873213,0.0003190991,0.0003824482,0.00009267015,0.0002982627],"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":[0.00001787746,0.0000109189,0.0006689165,0.00003185332,0.00003724628,0.00003094761,0.002407685,9.752639e-7,4.635744e-7,0.9912247,0.00369251,0.001875886],"study_design_scores_gemma":[0.0002473009,0.00002319486,0.0000686486,0.0002396596,0.000033259,0.000001176542,0.003849353,0.000003523599,6.266183e-7,0.3216284,0.673577,0.0003279472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004769717,0.0008038736,0.00000209568,0.001209998,0.000719237,0.0003982499,0.0001388346,0.0001195301,0.9961312],"genre_scores_gemma":[0.3003801,0.00007211422,0.0001153995,0.001813479,0.001254912,0.00003240756,0.00001014109,0.00005487336,0.6962666],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6698844,"threshold_uncertainty_score":0.9998873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04283100381644287,"score_gpt":0.2928474590898651,"score_spread":0.2500164552734223,"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."}}