{"id":"W4394764027","doi":"10.3390/jrfm17040153","title":"Role of Remittance on Sustainable Economic Development in Developing and Emerging Economies: New Insights from Panel Cross-Sectional Augmented Autoregressive Distributed Lag Approach","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remittance; Distributed lag; Economics; Cointegration; Economic rent; Endogeneity; Globalization; Per capita; Panel data; Emerging markets; Sustainable development; Macroeconomics; Econometrics; Economic growth; Population; Microeconomics","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":[0.000471096,0.0002166243,0.0005014872,0.000556595,0.0001139125,0.000136729,0.0001831016,0.0001060836,0.00002583185],"category_scores_gemma":[0.00004184776,0.0002371019,0.00007967275,0.0001126322,0.00006571067,0.0004128419,0.0001516863,0.0002281495,0.00001125585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008284493,"about_ca_system_score_gemma":0.00009406975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000274621,"about_ca_topic_score_gemma":0.00005555332,"domain_scores_codex":[0.9980088,0.00001843424,0.001202716,0.0004572588,0.00004907022,0.0002636664],"domain_scores_gemma":[0.9989417,0.00007503403,0.0007354534,0.0001425096,0.00001384818,0.00009141622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002139399,0.0001159036,0.4050207,0.0002143096,0.0002584781,0.00005488809,0.002421054,0.01761638,0.000007891625,0.5615075,0.0002436156,0.01232536],"study_design_scores_gemma":[0.001158794,0.00005335308,0.8526951,0.000136333,0.00001383539,0.000004807107,0.0004834669,0.002795009,0.0001030564,0.05723701,0.08503949,0.0002797118],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977466,0.006850901,0.01364048,0.00005268688,0.0003237301,0.0001733821,0.00006984789,0.000009912355,0.001412987],"genre_scores_gemma":[0.9912822,0.004001087,0.004203476,0.00003278169,0.0001563687,0.0000129552,0.00002135811,0.00002212078,0.0002676426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5042704,"threshold_uncertainty_score":0.9668733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128791380689814,"score_gpt":0.2029485127364794,"score_spread":0.190069374667498,"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."}}