{"id":"W2955876633","doi":"10.5539/ijef.v11n8p1","title":"Remittances, Governance and Economic Growth: Empirical Evidence from MENA Region","year":2019,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conseil National de la Recherche Scientifique; Centre National de la Recherche Scientifique; Université Libanaise","keywords":"Distributed lag; Economics; Corporate governance; Per capita; Openness to experience; Remittance; Panel data; Gross domestic product; Gross fixed capital formation; Consumption (sociology); Capital (architecture); World Development Indicators; Autoregressive model; Macroeconomics; Development economics; Monetary economics; Econometrics; Foreign direct investment; Economic growth; Geography","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":[0.0002840838,0.00006687147,0.0001471727,0.00003249374,0.00005097284,0.0001194814,0.0002437332,0.00005603414,0.00004151884],"category_scores_gemma":[0.00008899188,0.00006682294,0.00004049819,0.00001986263,0.0000924275,0.0006414786,0.00003433283,0.0001014018,0.000009930744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001696626,"about_ca_system_score_gemma":0.0001598931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005495172,"about_ca_topic_score_gemma":0.002613745,"domain_scores_codex":[0.9993694,0.00002898079,0.0002950466,0.0001444701,0.0000740852,0.0000879488],"domain_scores_gemma":[0.9991706,0.0001778631,0.0004320561,0.00005951203,0.0001151503,0.00004479893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003391212,0.00004667321,0.3148912,0.000006259232,0.0001287553,0.00002609034,0.009370025,0.002302808,0.00003436938,0.6384135,0.004912155,0.02952892],"study_design_scores_gemma":[0.001659767,0.0001741319,0.1609939,0.0004371566,0.00002521117,0.00007526148,0.001082615,0.04187212,0.00009618256,0.0551414,0.7379645,0.0004777763],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856088,0.001703452,0.00007236519,0.01015443,0.001074537,0.00004454189,0.00001786076,0.000002311024,0.001321682],"genre_scores_gemma":[0.886404,0.1117576,0.000557422,0.0003704393,0.0003594071,5.972987e-7,8.707331e-7,0.000004220622,0.0005453769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7330523,"threshold_uncertainty_score":0.272496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02992696255528567,"score_gpt":0.2878262506139657,"score_spread":0.2578992880586801,"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."}}