{"id":"W3124829458","doi":"","title":"Social Relations and Remittances: Evidence from Canadian Micro Data","year":2006,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Remittance; Immigration; Demographic economics; Population; Economics; Development economics; Sociology; Geography; Economic growth; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002207616,0.0004879904,0.0006620728,0.004411129,0.003005473,0.002039385,0.001469183,0.0005081785,0.007991517],"category_scores_gemma":[0.01592665,0.000418346,0.0005992119,0.01576403,0.001073846,0.000694786,0.001311562,0.0009110178,0.00094425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0159591,"about_ca_system_score_gemma":0.01423342,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928981,"about_ca_topic_score_gemma":0.9945928,"domain_scores_codex":[0.9979569,0.000337007,0.0001396302,0.0002878178,0.0007946914,0.0004838944],"domain_scores_gemma":[0.9824279,0.004667544,0.004529568,0.0014484,0.005725739,0.001200863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002175347,0.00007514365,0.9514825,0.0002458919,0.0003265265,0.0002166058,0.003841927,0.001530988,0.000101166,0.004010617,0.01544715,0.02250371],"study_design_scores_gemma":[0.00001263152,0.00001339626,0.9859927,0.0001006158,0.00006112803,0.0000305243,0.001777589,0.0009018694,0.00008937746,0.0003083395,0.01068241,0.00002943365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9081916,0.004110175,0.0009943835,0.002155361,0.00004472055,0.0001027014,0.06626123,0.00007013517,0.01806968],"genre_scores_gemma":[0.9621885,0.003535355,0.0007422084,0.0001770492,0.0000210468,0.0000614552,0.02602751,0.00002981559,0.007217119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0159591,"threshold_uncertainty_score":0.1157919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04221032658500872,"score_gpt":0.3048285317163796,"score_spread":0.2626182051313709,"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."}}