{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001590157,0.0002223441,0.0003224098,0.0005600794,0.000155531,0.0009576451,0.0002750729,0.0003559571,0.001477909],"category_scores_gemma":[0.002690777,0.0001232518,0.0005810214,0.0007848772,0.0002673694,0.0009242931,0.0007616694,0.00075636,0.0001410157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871934,"about_ca_system_score_gemma":0.0004277266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009572781,"about_ca_topic_score_gemma":0.01233508,"domain_scores_codex":[0.9995721,0.0002170471,0.0000308955,0.00006917074,0.00004851787,0.0000623528],"domain_scores_gemma":[0.9969784,0.001573599,0.0008777275,0.0001988907,0.0002483985,0.0001230856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000117609,0.0001665216,0.8855813,0.0001422163,0.0006766408,0.001039519,0.0007710726,0.05269081,0.001077623,0.01870929,0.001582863,0.03744444],"study_design_scores_gemma":[0.00001005228,0.0001969089,0.8078445,0.0001385321,0.0005858689,0.0001797864,0.001805879,0.167114,0.001382854,0.01214346,0.008543953,0.00005423931],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799563,0.002204568,0.01123695,0.001042287,0.00003191656,0.00001440539,0.0008070768,0.00003228625,0.004674318],"genre_scores_gemma":[0.9965797,0.001155414,0.0008952961,0.00005675004,0.00001890552,0.000007871989,0.0004883408,0.000003644888,0.0007940134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009572781,"threshold_uncertainty_score":0.01903409,"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."}}