{"id":"W2996350230","doi":"10.5430/rwe.v10n3p431","title":"The Factors Affecting the Decision to Participate in Voluntary Social Insurance of Vietnamese Employees: The Case of Tra Vinh Province","year":2019,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Impulse Buying and Technology Impacts","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trường Đại học Trà Vinh","keywords":"Vietnamese; Business; Social insurance; Social security; Government (linguistics); Turnover; Payment; Actuarial science; Finance; Political science; Economics","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":[0.005118835,0.0001303137,0.0003832408,0.0005464145,0.0002842238,0.00006318434,0.0006865504,0.00007848675,0.00004134062],"category_scores_gemma":[0.0006163332,0.00008416227,0.00009152411,0.001139757,0.0003122887,0.0001762248,0.0002447614,0.0006836483,0.00007727305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002171856,"about_ca_system_score_gemma":0.00009103101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003227455,"about_ca_topic_score_gemma":0.01490805,"domain_scores_codex":[0.998061,0.0001667386,0.0007520645,0.0003218686,0.00005842802,0.0006399174],"domain_scores_gemma":[0.9972343,0.001835004,0.0002417953,0.0005940804,0.00004470915,0.00005009101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008482981,0.00009424856,0.9729589,0.00004488883,0.00002715132,0.00002209484,0.003693504,0.000310393,0.00001402585,0.01031648,0.0002562095,0.01217723],"study_design_scores_gemma":[0.0009384566,0.0002803807,0.9508427,0.000164737,0.000002386852,0.00001309164,0.005881845,0.001452243,0.0008844635,0.03330623,0.005988779,0.000244623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931963,0.0004241343,0.00001007502,0.002831169,0.0001219429,0.0008922278,0.00003470155,0.00001015251,0.002479288],"genre_scores_gemma":[0.9996247,0.00003676048,0.00002876059,0.00003998546,0.00002568862,0.00005993762,7.736233e-7,0.00001843837,0.0001649636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02298975,"threshold_uncertainty_score":0.8319044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09590487929494021,"score_gpt":0.3528242866859639,"score_spread":0.2569194073910237,"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."}}