{"id":"W2754065073","doi":"10.23834/isrjournal.308617","title":"Increasing E-Trust in E-Government Services: A Case Study on The Users of Internet Tax Office","year":2017,"lang":"en","type":"article","venue":"The Journal of International Scientific Researches","topic":"E-Government and Public Services","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Turkish; The Internet; Government (linguistics); Payment; Quarter (Canadian coin); Marketing; Finance; World Wide Web; Computer 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":[0.002431911,0.0003978456,0.0004797859,0.001387332,0.007202723,0.002406831,0.0008926509,0.001850126,0.00240024],"category_scores_gemma":[0.005315872,0.0004188762,0.0004876672,0.001886695,0.002049813,0.003008795,0.001873776,0.002184181,0.0003669009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002991044,"about_ca_system_score_gemma":0.001554782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02489059,"about_ca_topic_score_gemma":0.04368585,"domain_scores_codex":[0.9971106,0.001778353,0.0001160201,0.0001489654,0.0002911246,0.0005548821],"domain_scores_gemma":[0.9936883,0.003682689,0.00088792,0.0002967072,0.0007036412,0.0007407128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00024866,0.002657361,0.1960527,0.0002392482,0.00004276606,0.02523657,0.7478927,0.0003289676,0.001408052,0.003947592,0.002240498,0.01970495],"study_design_scores_gemma":[0.00002471523,0.0004449515,0.05423247,0.00008638259,0.00003062506,0.003881282,0.9319464,0.00137271,0.0007942352,0.000367555,0.006775455,0.00004320953],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985656,0.00006676501,0.0001234439,0.0002959953,0.000003327891,0.00002246501,0.00001454481,0.000001487403,0.0009064017],"genre_scores_gemma":[0.998594,0.00027152,0.0001925607,0.0001324733,0.000007429299,0.00001964222,0.00001910661,0.000003712799,0.0007595898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02489059,"threshold_uncertainty_score":0.04949147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1021558556433666,"score_gpt":0.3906562324715093,"score_spread":0.2885003768281427,"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."}}