{"id":"W3121392762","doi":"10.2139/ssrn.2450402","title":"Migrant Remittances and Fertility","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Fertility; Demographic economics; Economics; Political science; Geography; Development economics; Demography; Sociology; Population","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":[0.001031712,0.0001150334,0.0001990108,0.0006992399,0.000796736,0.0009967639,0.0002918516,0.0006056657,0.01105584],"category_scores_gemma":[0.005311036,0.0001199613,0.0003085783,0.0008269748,0.0004772368,0.0006517594,0.0008431937,0.0008596613,0.0007578766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005019648,"about_ca_system_score_gemma":0.0005941953,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01299417,"about_ca_topic_score_gemma":0.02075509,"domain_scores_codex":[0.9996766,0.000156706,0.00001310063,0.00002404868,0.00002209619,0.0001074639],"domain_scores_gemma":[0.997195,0.001117395,0.0008470265,0.0001088944,0.0001484044,0.0005833755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002207875,0.0001936775,0.9566023,0.00004618297,0.00009137402,0.0006520455,0.004531038,0.001311755,0.0001812859,0.01492099,0.001437942,0.0198106],"study_design_scores_gemma":[0.00001966369,0.0002111317,0.9692996,0.00009792644,0.00006492183,0.0005225794,0.01489888,0.001416478,0.0001440321,0.00563298,0.007676859,0.00001499105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909868,0.001315135,0.0001651473,0.001342544,0.00001985935,0.000006007207,0.0001879829,0.000005417855,0.005971068],"genre_scores_gemma":[0.995027,0.0005541466,0.00004618117,0.00004541939,0.00002463606,0.000005352602,0.00007628196,0.000002110344,0.004218878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01299417,"threshold_uncertainty_score":0.0369854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006873756038378104,"score_gpt":0.2629586379484136,"score_spread":0.2560848819100355,"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."}}