{"id":"W4244885540","doi":"10.4018/978-1-59904-947-2.ch047","title":"Design of Government Information for Access by Wireless Mobile Technology","year":2008,"lang":"en","type":"book-chapter","venue":"Electronic Government","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); Mobile device; Internet privacy; World Wide Web; Mobile technology; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006597146,0.0003988705,0.0005241666,0.00004994081,0.000338608,0.00009238598,0.001145318,0.0006315215,0.0006173057],"category_scores_gemma":[0.00003833756,0.0004166256,0.0001714027,0.0001057262,0.0003278381,0.0006750085,0.0002128062,0.0003570173,0.00002879914],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004704964,"about_ca_system_score_gemma":0.0006142034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002220563,"about_ca_topic_score_gemma":0.0003552834,"domain_scores_codex":[0.9953175,0.00003931447,0.0006475311,0.0003687252,0.002849688,0.0007772073],"domain_scores_gemma":[0.9980485,0.0002293913,0.001111877,0.0004005584,0.0001032408,0.0001063652],"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":[0.0004922792,0.0002753293,0.0001550744,0.0002856705,0.0008238246,0.000002108537,0.003815164,0.0001087258,0.0003977814,0.6467705,0.2398076,0.1070659],"study_design_scores_gemma":[0.0006171916,0.0005415679,0.00000260063,0.00006485213,0.00008111419,0.000001120473,0.0009815942,0.00008196472,0.002370377,0.003164182,0.9916714,0.0004220664],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00208889,0.006420434,0.01606767,0.003488573,0.000841402,0.008004149,0.001678362,0.0002944087,0.9611161],"genre_scores_gemma":[0.2673514,0.03854076,0.0005016413,0.001181912,0.0006178464,0.002063959,0.0002805523,0.0001951559,0.6892667],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7518638,"threshold_uncertainty_score":0.9998286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232853682773273,"score_gpt":0.2517267268968285,"score_spread":0.2393981900690957,"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."}}