{"id":"W2978888101","doi":"","title":"الآثار الإقتصادیة لهجرة العمالة المصریة إلى الخارج [The Economic Impacts for the Egyptian Labor Emigration]","year":2003,"lang":"ar","type":"article","venue":"MPRA Paper","topic":"Financial Risk and Volatility Modeling","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emigration; Heteroscedasticity; Economics; Wage; Quantile regression; Unemployment; Econometrics; Population; Labour economics; Geography; Macroeconomics; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002514188,0.0005887722,0.0007954987,0.0001711198,0.00145151,0.0005695708,0.0007923651,0.0004495291,0.00153119],"category_scores_gemma":[0.001006062,0.0004605727,0.0006125653,0.0003425705,0.0002383347,0.0006744916,0.00009877388,0.0006137756,0.002665495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005237446,"about_ca_system_score_gemma":0.0004076502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412565,"about_ca_topic_score_gemma":0.003087107,"domain_scores_codex":[0.9961291,0.0001087483,0.001538018,0.001009599,0.0000960275,0.001118538],"domain_scores_gemma":[0.9965847,0.0008787775,0.0007322827,0.001463488,0.0001192959,0.0002214804],"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":[0.0003811491,0.000417245,0.1620769,0.0003700911,0.0009787492,0.000006858791,0.01543238,0.02732035,0.0002033215,0.7396741,0.04128452,0.01185434],"study_design_scores_gemma":[0.001392844,0.0001956654,0.0368451,0.00005393514,0.0001117814,0.000007428993,0.000656828,0.05707788,0.0001496284,0.01246072,0.8902438,0.0008043722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90065,0.04247326,0.005966718,0.01993842,0.007516538,0.003419946,0.0026781,0.0001330614,0.01722393],"genre_scores_gemma":[0.9844346,0.004640002,0.0007603062,0.003209525,0.001060514,0.0002368736,0.00004247213,0.000126597,0.005489093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8489593,"threshold_uncertainty_score":0.9998485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02906679762875289,"score_gpt":0.2394306097248753,"score_spread":0.2103638120961224,"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."}}