{"id":"W2126126399","doi":"10.1111/imre.12114","title":"The Fertility of Married Immigrant Women to Canada","year":2014,"lang":"en","type":"article","venue":"International Migration Review","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Fertility; Immigration; Demography; Census; Geography; Socialization; Population; Demographic economics; Sociology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006962416,0.0001322792,0.0002666754,0.001188432,0.001010013,0.0007474112,0.0005754236,0.000208517,0.001143619],"category_scores_gemma":[0.002242025,0.0001105517,0.0002922133,0.003295378,0.0004163752,0.0001654566,0.0003556847,0.0003303901,0.000112256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01463652,"about_ca_system_score_gemma":0.02278362,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9901365,"about_ca_topic_score_gemma":0.9914947,"domain_scores_codex":[0.9997324,0.00003299233,0.000009931198,0.00003485223,0.00009157825,0.00009833997],"domain_scores_gemma":[0.9995124,0.00005185164,0.0000824109,0.00001668113,0.0002411761,0.00009544755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002705817,0.00006174726,0.7531593,0.000833569,0.0003102841,0.0004885247,0.006197144,0.001854696,0.0003704384,0.006065012,0.02241348,0.2079753],"study_design_scores_gemma":[0.00001546343,0.00004395116,0.9605863,0.0003778199,0.00007296632,0.0001746761,0.003118699,0.0005493421,0.0001324074,0.0003353411,0.03456528,0.00002770422],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8748544,0.09292838,0.0002815289,0.003209361,0.0001120483,0.00005331744,0.009016039,0.00002541556,0.0195196],"genre_scores_gemma":[0.9248832,0.06686716,0.0001959552,0.000335089,0.0000328683,0.00001696385,0.003675099,0.000005811284,0.00398786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01463652,"threshold_uncertainty_score":0.1061959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00888701176725891,"score_gpt":0.2896453689336242,"score_spread":0.2807583571663653,"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."}}