{"id":"W4311783193","doi":"10.5267/j.ijdns.2022.11.004","title":"The effect of quality, security and privacy factors on trust and intention to use e-government services","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Stratified sampling; Quality (philosophy); Business; Service quality; Information quality; Service (business); Internet privacy; Public relations; Marketing; Information system; Computer science; Political science; Law; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003041302,0.0002450319,0.0003229807,0.0008201251,0.0007890821,0.002125061,0.0002815599,0.0006697007,0.003121692],"category_scores_gemma":[0.01672688,0.000287662,0.0009863639,0.0007075045,0.0008279336,0.0008817847,0.001066643,0.001309568,0.0002754274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297757,"about_ca_system_score_gemma":0.002283024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0148217,"about_ca_topic_score_gemma":0.01242834,"domain_scores_codex":[0.9967067,0.001281837,0.0003372486,0.0002152869,0.0008269707,0.0006320609],"domain_scores_gemma":[0.9750107,0.01138397,0.006148974,0.0008911242,0.002980043,0.003585184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001145828,0.0004622181,0.9885979,0.00005105285,0.00009509047,0.0001446777,0.00345563,0.0002311197,0.0002406226,0.0003888963,0.0001529531,0.006065322],"study_design_scores_gemma":[0.00001263909,0.0002824449,0.9881882,0.00008717718,0.00007550524,0.0001286232,0.007783667,0.002158138,0.0002257935,0.0003453809,0.0006930412,0.00001937665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977513,0.0001080136,0.0001469745,0.0002302486,0.000004373431,0.00001590672,0.00002826428,0.00000270918,0.001712232],"genre_scores_gemma":[0.9995731,0.00006751835,0.00008509534,0.00002489591,0.000002401826,0.000007143907,0.00002554341,0.000001176026,0.0002131513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0148217,"threshold_uncertainty_score":0.02947086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02361062608946887,"score_gpt":0.302445518935082,"score_spread":0.2788348928456131,"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."}}