{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001061192,0.0003615565,0.0005012844,0.0002626908,0.001543265,0.0004908508,0.001255779,0.0008570442,0.00181442],"category_scores_gemma":[0.000677077,0.0004400206,0.0001157739,0.0002360125,0.001102942,0.0006156302,0.0004289259,0.0009057767,0.0001834018],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001096777,"about_ca_system_score_gemma":0.006051003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6134581,"about_ca_topic_score_gemma":0.987996,"domain_scores_codex":[0.9968995,0.0004119771,0.0006322933,0.001111843,0.0003605042,0.000583882],"domain_scores_gemma":[0.9973663,0.0005413892,0.0004691483,0.0009594462,0.0002001602,0.0004635532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000512516,0.00002129159,0.7964271,0.00002041537,0.00007370213,0.00001403883,0.01113163,0.00002399799,0.00001077768,0.004927998,0.1864805,0.00086349],"study_design_scores_gemma":[0.0004067559,0.00001183667,0.2943761,0.0005478141,0.000271644,0.000004910067,0.003547986,0.002130307,0.000004142598,0.005847238,0.6913763,0.001474927],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9255756,0.005422976,0.0002264384,0.00817988,0.002615318,0.0006548507,0.004551205,0.000177191,0.05259652],"genre_scores_gemma":[0.9670455,0.002148777,0.006744585,0.001024793,0.003474616,0.00006684235,0.002618633,0.00007604847,0.01680017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5048958,"threshold_uncertainty_score":0.9998052,"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."}}