{"id":"W1485062466","doi":"","title":"DEVELOPING TRUST RECIPROCITY IN ELECTRONIC- GOVERNMENT: THE ROLE OF FELT TRUST","year":2009,"lang":"en","type":"article","venue":"Queensland's institutional digital repository (The University of Queensland)","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Internet privacy; Government (linguistics); Trustworthiness; Upload; Phone; Public relations; Perception; Business; Face (sociological concept); Reciprocity (cultural anthropology); Computer science; World Wide Web; Psychology; Political science; Sociology; Social psychology","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":[0.02143103,0.0003248475,0.0005292454,0.001594417,0.0052792,0.007940236,0.000840675,0.001933774,0.003399042],"category_scores_gemma":[0.05736909,0.0005994262,0.0004803213,0.0008552876,0.009246173,0.00626763,0.006745619,0.00362842,0.0003172568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004888947,"about_ca_system_score_gemma":0.005070635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004853182,"about_ca_topic_score_gemma":0.00440657,"domain_scores_codex":[0.9746447,0.01986699,0.0007194056,0.001012093,0.001852902,0.001903872],"domain_scores_gemma":[0.9245349,0.03934691,0.01550203,0.003513458,0.007026992,0.01007575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003797878,0.001097341,0.2743448,0.0006022282,0.0002887688,0.001865464,0.483878,0.001051338,0.00148056,0.1211419,0.004352288,0.1095174],"study_design_scores_gemma":[0.0001928375,0.0009780767,0.3279234,0.001422029,0.0003048387,0.001818209,0.4982803,0.007188612,0.001174294,0.1158775,0.04448346,0.0003564262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264251,0.0008945803,0.006902991,0.008436361,0.0001161979,0.0001054268,0.00002207535,0.00002690115,0.05707046],"genre_scores_gemma":[0.9988858,0.0001519019,0.000415722,0.0001271739,0.000008491733,0.00001821348,0.000004522826,0.00000466414,0.0003835095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02143103,"threshold_uncertainty_score":0.1133395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00906967621496014,"score_gpt":0.2141512862553903,"score_spread":0.2050816100404301,"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."}}