{"id":"W1542052849","doi":"10.1093/wber/lhw058","title":"Migrant Remittances and Information Flows: Evidence from a Field Experiment","year":2016,"lang":"en","type":"article","venue":"The World Bank Economic Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Remittance; Subsidy; Demographic economics; Economics; Control (management); Value (mathematics); Business; Labour economics; Economic growth","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":[0.03843074,0.00137799,0.001970591,0.0005666472,0.00128444,0.001315502,0.001850866,0.003958001,0.007069082],"category_scores_gemma":[0.06063422,0.0008364808,0.001599991,0.0006167473,0.004423176,0.001712791,0.001024455,0.002673246,0.0008853674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081053,"about_ca_system_score_gemma":0.002370914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312279,"about_ca_topic_score_gemma":0.0008326902,"domain_scores_codex":[0.9589725,0.03437769,0.001609189,0.002160783,0.001602869,0.001277008],"domain_scores_gemma":[0.8913504,0.08283367,0.01510218,0.006259216,0.001777653,0.002676859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.485598,0.4071027,0.01150086,0.004500532,0.002752194,0.0002043563,0.001467271,0.002100093,0.006509527,0.003499662,0.003007419,0.0717574],"study_design_scores_gemma":[0.2854536,0.6711231,0.02304666,0.0005550341,0.002572033,0.0000846529,0.0004194673,0.003772159,0.00376121,0.004893646,0.004215156,0.0001034709],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723094,0.0009753968,0.004912383,0.001141744,0.0005717702,0.01540225,0.0004647094,0.0001161936,0.004106169],"genre_scores_gemma":[0.9485434,0.001049539,0.01051768,0.001324254,0.0004029166,0.03510736,0.0003340742,0.00002583452,0.002694903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03843074,"threshold_uncertainty_score":0.2032436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02277457346043763,"score_gpt":0.3054522894760577,"score_spread":0.28267771601562,"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."}}