{"id":"W4226389686","doi":"10.5267/j.ijdns.2022.2.004","title":"Digitalization in public sector in emerging economies: The enablers and inhibitors influence electronic customs in Vietnam","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Taxation and Compliance Studies","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Collectivism; Business; Emerging markets; Legislation; Modernization theory; Hofstede's cultural dimensions theory; Uncertainty avoidance; Government (linguistics); Individualism; Marketing; Industrial organization; Economics; Political science; Economic growth; Market economy; Sociology; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001622546,0.000052304,0.0001209909,0.0003768929,0.0001129001,0.0001599253,0.0006746894,0.000009217498,0.00002359121],"category_scores_gemma":[0.0001560705,0.00004893826,0.00001040396,0.0005988076,0.0001313646,0.001514585,0.0004306057,0.0001731887,8.637436e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084072,"about_ca_system_score_gemma":0.00008952494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006287883,"about_ca_topic_score_gemma":0.0004351373,"domain_scores_codex":[0.9990837,0.00001682662,0.0004423497,0.00018804,0.00008940895,0.0001796859],"domain_scores_gemma":[0.9994409,0.00005227266,0.0003494275,0.00009931918,0.00003386944,0.00002419088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000178019,0.00002730965,0.9502935,0.000001794776,0.000008843438,0.000003880159,0.0007409202,0.01944123,0.000005296513,0.02510406,0.0001767013,0.004178647],"study_design_scores_gemma":[0.001064801,0.00008033944,0.8447487,0.00006086204,0.000001382256,0.00005105426,0.002318838,0.04820918,0.000002887617,0.02478961,0.07847402,0.0001983519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942303,0.002087166,0.0001739942,0.002421181,0.0003434184,0.00005832906,0.0000207728,0.000001704954,0.0006631531],"genre_scores_gemma":[0.9983468,0.001260407,0.00004158186,0.0002701877,0.00005935721,0.000004782767,0.000003406844,0.000002556042,0.00001089551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1055448,"threshold_uncertainty_score":0.1995644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03443013796586163,"score_gpt":0.2580978671774688,"score_spread":0.2236677292116072,"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."}}