{"id":"W2937549485","doi":"10.1111/ecno.12145","title":"Labor and behavior determinants of remittances in Saudi Arabia","year":2019,"lang":"en","type":"article","venue":"Economic Notes","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Remittance; Earnings; Economics; Unemployment; Labour economics; Wage; Communication source; Capital (architecture); Demographic economics; Macroeconomics; Economic growth; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003609187,0.0001409702,0.00008442719,0.0003673387,0.0002956506,0.0004450374,0.0001684581,0.0001545683,0.002541745],"category_scores_gemma":[0.001223012,0.00005933193,0.0001521229,0.0003978082,0.0001389534,0.0001675375,0.0002314826,0.0002251227,0.0003223615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004350554,"about_ca_system_score_gemma":0.0002735145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04907574,"about_ca_topic_score_gemma":0.04675322,"domain_scores_codex":[0.9998729,0.00004431804,0.00001297594,0.00001495054,0.00002165922,0.00003313929],"domain_scores_gemma":[0.998938,0.0002055568,0.0005135429,0.00004051886,0.0001587914,0.0001436704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003591523,0.00003954098,0.9962317,0.000006477124,0.0000183931,0.00005878052,0.0006670989,0.0002701716,0.0002461618,0.0001696595,0.0001178062,0.002138249],"study_design_scores_gemma":[0.000001157941,0.00002855782,0.9964905,0.000009570609,0.000004654908,0.0000322707,0.001971623,0.0008453145,0.00007774105,0.00005191398,0.0004843105,0.000002434711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995696,0.00002873828,0.00001756843,0.00003108893,6.932622e-7,0.000001886967,0.00008770319,6.19233e-7,0.0002621512],"genre_scores_gemma":[0.9993668,0.00002952705,0.00002198108,0.000004507856,0.000001254801,0.00000130298,0.0001188525,4.100973e-7,0.0004553673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04907574,"threshold_uncertainty_score":0.09758013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355603100189083,"score_gpt":0.2900733151049301,"score_spread":0.2765172841030392,"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."}}