{"id":"W4236094125","doi":"10.4018/978-1-59904-947-2.ch297","title":"Confidence in E-Government","year":2008,"lang":"en","type":"book-chapter","venue":"Electronic Government","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Public relations; Public administration; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006188346,0.000236077,0.0002874391,0.0007951406,0.002610998,0.01430114,0.0008725417,0.003758746,0.0126765],"category_scores_gemma":[0.01363169,0.0002752686,0.0002973234,0.001303309,0.01393084,0.01117505,0.004687597,0.007781022,0.004662829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003736304,"about_ca_system_score_gemma":0.00356246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003079999,"about_ca_topic_score_gemma":0.002070366,"domain_scores_codex":[0.9947044,0.002062842,0.0002172621,0.0005365479,0.001971021,0.0005079044],"domain_scores_gemma":[0.9925442,0.004526879,0.0004272685,0.0008805877,0.001063223,0.0005578949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000528576,0.0000207394,0.0002565823,0.00004641479,0.000003079099,0.00008587458,0.009259989,0.0001747361,0.00008030963,0.945091,0.02410094,0.02087513],"study_design_scores_gemma":[0.000005761228,0.00001382635,0.0003102654,0.0003431708,0.000002375643,0.000194994,0.003222266,0.0002484802,0.0001574239,0.1418518,0.8536371,0.00001261332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009236244,0.0054916,0.005312395,0.03771077,0.0005481789,0.00002784041,0.00005397926,0.00008784097,0.9415311],"genre_scores_gemma":[0.6757513,0.01113105,0.002994407,0.02661528,0.0006687315,0.00008626691,0.0001775872,0.0002191136,0.2823564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01430114,"threshold_uncertainty_score":0.04240716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02324580475921517,"score_gpt":0.2553019857339716,"score_spread":0.2320561809747564,"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."}}