{"id":"W1985895653","doi":"10.1016/j.giq.2005.10.001","title":"Building Citizen Trust Through E-government","year":2005,"lang":"en","type":"article","venue":"Government Information Quarterly","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":288,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Extant taxon; Politics; Political efficacy; Government (linguistics); The Internet; Public relations; Quality (philosophy); Business; Political science; E-Government; Public administration; Computer science; Information and Communications Technology; Law; World Wide Web","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":[0.0108335,0.0003027901,0.0004096223,0.001280343,0.003895025,0.007571312,0.0008753656,0.002329208,0.009960983],"category_scores_gemma":[0.05310738,0.0005483992,0.0005940769,0.001305755,0.005174111,0.0160233,0.009036068,0.003326665,0.001763303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004248174,"about_ca_system_score_gemma":0.006900227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006930419,"about_ca_topic_score_gemma":0.007797481,"domain_scores_codex":[0.9874339,0.00843387,0.0004676624,0.0005818948,0.001534958,0.00154782],"domain_scores_gemma":[0.9432202,0.03125068,0.004885085,0.0106115,0.005950664,0.004081826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007435178,0.002073775,0.1079015,0.0004204022,0.0002534193,0.001187609,0.06017395,0.006411203,0.002590602,0.5233246,0.01887374,0.2760457],"study_design_scores_gemma":[0.0002398598,0.0009494784,0.0436178,0.0006537879,0.0003391648,0.000720617,0.05315321,0.03037369,0.00727199,0.6887997,0.1737273,0.000153452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5440381,0.0008530784,0.06560766,0.02908757,0.0002389022,0.000175866,0.00008637868,0.0004492705,0.3594631],"genre_scores_gemma":[0.9953614,0.0001027771,0.001495733,0.000252555,0.00001381779,0.00001663514,0.00001203491,0.00002052704,0.002724619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108335,"threshold_uncertainty_score":0.05729371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087400996665414,"score_gpt":0.2622898227570757,"score_spread":0.2514158127904215,"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."}}