{"id":"W4234050192","doi":"10.4018/978-1-59140-789-8.ch044","title":"Design of Government Information for Access by Wireless Mobile Technology","year":2007,"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":"Athabasca University","funders":"","keywords":"Government (linguistics); Internet privacy; World Wide Web; Mobile device; Computer science; Mobile technology; The Internet; Order (exchange); Mobile Web; Multimedia; Business","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":[],"consensus_categories":[],"category_scores_codex":[0.0005030641,0.0002287839,0.0003235415,0.00005007422,0.0001746221,0.0001191627,0.0008134762,0.0006936453,0.00008530793],"category_scores_gemma":[0.0000220902,0.0002339783,0.0000999277,0.00004538877,0.0002949475,0.0003157229,0.0001493991,0.0001241505,0.00001884092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006664453,"about_ca_system_score_gemma":0.0002139945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007241967,"about_ca_topic_score_gemma":0.0007505746,"domain_scores_codex":[0.9980071,0.00001549274,0.0004358477,0.0001981054,0.001004665,0.0003387661],"domain_scores_gemma":[0.9988159,0.0001069202,0.0006044339,0.0002270644,0.0001573492,0.00008836261],"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":[0.00006285289,0.00001060162,0.00004969287,0.00005364123,0.00005877274,4.876439e-7,0.0003599605,0.000003065535,0.00001005368,0.9479082,0.007924787,0.04355784],"study_design_scores_gemma":[0.0004248497,0.0001800492,0.000002930828,0.00009755019,0.00006285602,6.188692e-7,0.001333751,0.00002541137,0.0005501969,0.118149,0.8788283,0.0003445041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0002738758,0.000184007,0.005852714,0.0001516231,0.0003427901,0.001376961,0.000603098,0.0000913974,0.9911236],"genre_scores_gemma":[0.6617267,0.0003838043,0.003896119,0.003713478,0.001234469,0.0009977994,0.0001357348,0.0001449294,0.327767],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8709035,"threshold_uncertainty_score":0.9541358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745305997551507,"score_gpt":0.29999882775444,"score_spread":0.272545767778925,"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."}}