{"id":"W4310676333","doi":"10.5539/jsd.v16n1p53","title":"The Effects of ICT/e-Government on Migrant Workers' Remittance Inflows in Bangladesh: An Empirical Study","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remittance; Information and Communications Technology; Business; Government (linguistics); Transaction cost; Currency; Thematic analysis; Economics; Economic growth; Qualitative research; Finance; Political science; Monetary economics; Sociology; Social science","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":[0.001193291,0.0001712007,0.0002898927,0.0001678194,0.0002185142,0.00003889199,0.0003453267,0.0000321368,0.00001985847],"category_scores_gemma":[0.0001296019,0.0001258222,0.00006035074,0.0004330157,0.00002045527,0.0001275903,0.0001029815,0.0004696086,0.000001082047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158353,"about_ca_system_score_gemma":0.0002389788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002090961,"about_ca_topic_score_gemma":0.00002996137,"domain_scores_codex":[0.9978595,0.0001451175,0.0006154027,0.00006133151,0.0008777213,0.0004409234],"domain_scores_gemma":[0.9991827,0.0002759295,0.0001729261,0.0001917591,0.00007637474,0.0001003318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00172243,0.002753497,0.4012116,0.0007816089,0.0007473081,0.001408393,0.4249976,0.1319861,0.001639141,0.0001772439,0.02047941,0.01209577],"study_design_scores_gemma":[0.002006166,0.001480581,0.564986,0.000115224,0.00002961076,0.00004415776,0.1649604,0.00009199586,0.002051953,0.00007942753,0.2638355,0.0003190285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982175,0.0004990115,0.00002885936,0.0001548721,0.0003592751,0.000392968,8.108128e-7,0.00001380872,0.0003328935],"genre_scores_gemma":[0.9986885,0.00003036854,0.0001198633,0.00007232156,0.00004982314,0.00004213142,5.655692e-7,0.00002375231,0.00097266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2600371,"threshold_uncertainty_score":0.5130882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00932112648124392,"score_gpt":0.2515526136947032,"score_spread":0.2422314872134593,"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."}}