{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001192825,0.00005990367,0.0001172375,0.00001926641,0.0001777418,0.00003618617,0.0003279648,0.00001966269,0.0003297364],"category_scores_gemma":[0.001415628,0.0000430059,0.00004050416,0.0001903638,0.00004640112,0.0000475075,0.00001868332,0.00004671996,0.00001356851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002347832,"about_ca_system_score_gemma":0.0003392416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.413811,"about_ca_topic_score_gemma":0.9877526,"domain_scores_codex":[0.9987254,0.0002086987,0.0003274239,0.0001083056,0.0005022392,0.0001279355],"domain_scores_gemma":[0.9990541,0.0001798489,0.0001340719,0.0001509236,0.0003864437,0.00009459658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009719779,0.0001060361,0.006221367,0.0003441232,0.0001328165,0.000001008239,0.02180208,0.0002157048,0.0003193671,0.4127703,0.1374955,0.4204944],"study_design_scores_gemma":[0.00004150303,0.00000853085,0.005020785,0.0001132547,0.000003678086,1.049497e-7,0.000581714,0.0003737696,0.00001285776,0.000306995,0.9934857,0.00005103846],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6299551,0.006377514,0.003512963,0.3226168,0.002680237,0.001719015,0.0001198042,0.00007926091,0.03293936],"genre_scores_gemma":[0.9812009,0.007107804,0.00008780225,0.006624147,0.00008347639,0.00007602296,0.0000171061,0.000004377043,0.004798335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8559902,"threshold_uncertainty_score":0.5900925,"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."}}