{"id":"W2476892275","doi":"10.4018/978-1-59904-883-3.ch041","title":"E-Government and E-HRM in the Public Sector","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Public sector; Government (linguistics); Accountability; Public relations; Business; Public administration; New public management; Human resource management; E-Government; Political science; Information and Communications Technology; Law","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":[0.0004543367,0.0003605161,0.0002285446,0.001201619,0.001265972,0.003878752,0.0004065336,0.002506157,0.02088668],"category_scores_gemma":[0.0004318683,0.0001593647,0.0002001959,0.003321365,0.003287253,0.004471402,0.001379407,0.002227106,0.004435131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003398025,"about_ca_system_score_gemma":0.002439706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003192226,"about_ca_topic_score_gemma":0.005358109,"domain_scores_codex":[0.9996498,0.0001467647,0.00001610363,0.00004364727,0.00008958784,0.00005416456],"domain_scores_gemma":[0.9997366,0.0001774014,0.00001882281,0.00002085433,0.00002176252,0.00002447251],"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":[0.000008967219,0.00008115843,0.0002647685,0.0003150019,0.000003176553,0.0002244321,0.003652974,0.0004188383,0.0002140066,0.7322677,0.07781085,0.1847382],"study_design_scores_gemma":[0.000002525383,0.00001322082,0.0006474605,0.0006193219,0.000001938307,0.000256516,0.001699439,0.0001615072,0.0001050862,0.05554971,0.9409377,0.000005613916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003928009,0.1453007,0.002502103,0.01499981,0.0008366971,0.0000247912,0.00005049067,0.00006876214,0.8322887],"genre_scores_gemma":[0.1414136,0.2187366,0.004173382,0.009298235,0.00195189,0.00008002305,0.0001280738,0.0000997438,0.6241184],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02088668,"threshold_uncertainty_score":0.06987292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254940610186387,"score_gpt":0.2593846014885149,"score_spread":0.2338905404698762,"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."}}