{"id":"W2021499176","doi":"10.4018/jegr.2011010106","title":"The RFID Technology Adoption in e-Government","year":2011,"lang":"en","type":"article","venue":"International Journal of Electronic Government Research","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Variety (cybernetics); Government (linguistics); Business; Radio-frequency identification; Identification (biology); Perspective (graphical); Marketing; Dissemination; Private sector; E-Government; Information and Communications Technology; Public relations; Knowledge management; Telecommunications; Computer security; Computer science; Economics; Political science; Economic growth; 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":[0.003516055,0.0001831517,0.0002570601,0.001940228,0.001188152,0.003499361,0.0004535202,0.001507962,0.002002443],"category_scores_gemma":[0.01246186,0.0002328382,0.0004255839,0.004451785,0.002103494,0.004933135,0.001633976,0.001167195,0.0003926071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003195027,"about_ca_system_score_gemma":0.002413114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389162,"about_ca_topic_score_gemma":0.003337546,"domain_scores_codex":[0.9942516,0.002884858,0.000402133,0.0004678141,0.00148375,0.0005097978],"domain_scores_gemma":[0.9910282,0.004696077,0.00204153,0.000287146,0.001685451,0.0002614816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002008977,0.0003353598,0.362545,0.001221251,0.00012307,0.002499222,0.09986899,0.003020333,0.002625215,0.303225,0.00395159,0.220384],"study_design_scores_gemma":[0.00002661494,0.0006010216,0.5700176,0.002534786,0.0002353513,0.003747375,0.2005944,0.009717905,0.004447619,0.05573273,0.1521505,0.0001940729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8656327,0.006022862,0.008077255,0.007294951,0.00007374915,0.0001123679,0.0001233082,0.00003201774,0.1126309],"genre_scores_gemma":[0.995917,0.001755551,0.0006729106,0.0001617564,0.00001128868,0.00001681275,0.00002244497,0.000002671915,0.001439552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00389162,"threshold_uncertainty_score":0.02318168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05491595571997441,"score_gpt":0.3843795197940276,"score_spread":0.3294635640740532,"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."}}