{"id":"W3124625386","doi":"10.2139/ssrn.2403119","title":"Immigrants and Demography: Marriage, Divorce, and Fertility","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Immigration; Fertility; Miller; Demographic economics; Sociology; Political science; Geography; Demography; Gender studies; Development economics; Population; Economics; Law","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002529169,0.00008154478,0.0001095826,0.00006642792,0.0006464224,0.0001132623,0.0001064424,0.00006884087,0.0000292603],"category_scores_gemma":[0.0001384181,0.00007096099,0.00003861224,0.0001525557,0.0001739641,0.0001602348,0.00001719775,0.0005672447,0.000002685952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008959525,"about_ca_system_score_gemma":0.0003361226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009763738,"about_ca_topic_score_gemma":0.1409636,"domain_scores_codex":[0.9983239,0.000239854,0.0001405978,0.0001372426,0.0001977008,0.0009606681],"domain_scores_gemma":[0.9996042,0.00005806334,0.00006875263,0.00006956191,0.0000545048,0.0001449763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005072407,0.0000345245,0.1496645,0.000005803007,0.00006103401,6.765785e-7,0.005026712,0.000002171428,0.00009382644,0.7259509,0.0001092031,0.1189999],"study_design_scores_gemma":[0.001139359,0.0002480207,0.1906192,0.00002588178,0.00005999305,0.00004651579,0.01402033,0.001287313,0.000007040514,0.747761,0.04441772,0.0003676598],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909724,0.001690551,0.003283525,0.001629136,0.00008940692,0.00007264092,0.000001254024,0.00002557922,0.002235526],"genre_scores_gemma":[0.9889622,0.009499868,0.00005680889,0.0001862614,0.0001159265,0.000001239831,8.04121e-7,0.000006120417,0.001170795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1399872,"threshold_uncertainty_score":0.8747116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005181987420789184,"score_gpt":0.2492451036835865,"score_spread":0.2440631162627973,"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."}}