{"id":"W2580845764","doi":"","title":"Migration and Fertility Behavior in Sub-Saharan Africa : The Case of Ghana*","year":2006,"lang":"en","type":"article","venue":"Journal of Comparative Family Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Fertility; Population; Geography; Developing country; Sociology; Demographic economics; Demography; Economic growth; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003730667,0.0001803477,0.0002242816,0.0009443666,0.0009139834,0.0006015822,0.0003347059,0.000431855,0.00731272],"category_scores_gemma":[0.001249587,0.0001440923,0.0001982621,0.002666438,0.0008068109,0.0008206951,0.0009089715,0.0006355064,0.0004043795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00154729,"about_ca_system_score_gemma":0.001021259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1261224,"about_ca_topic_score_gemma":0.1667289,"domain_scores_codex":[0.9998179,0.00006972015,0.000006334132,0.00001315367,0.000008205282,0.00008468883],"domain_scores_gemma":[0.9994461,0.000143901,0.0002341732,0.00001459755,0.00003856119,0.0001226288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001930309,0.0001769211,0.9073161,0.0003149943,0.00007192206,0.01154953,0.03334204,0.0004818763,0.0002985638,0.006593956,0.005652813,0.03400822],"study_design_scores_gemma":[0.00003154734,0.00007284151,0.8949541,0.0004585884,0.0000562199,0.002001536,0.08967601,0.0005554259,0.00007828411,0.001376962,0.01072305,0.00001535408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927239,0.002506144,0.00005368622,0.002243699,0.00001130614,0.00001220906,0.0002821132,0.000002914139,0.002163987],"genre_scores_gemma":[0.9952033,0.003298241,0.00009144942,0.0001749568,0.00001692997,0.0000135641,0.0001578168,0.000002392868,0.001041412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1261224,"threshold_uncertainty_score":0.2507766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08454012670472125,"score_gpt":0.3719636423540186,"score_spread":0.2874235156492974,"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."}}