{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001474443,0.0001550564,0.0002874802,0.0009751079,0.001123127,0.001246663,0.0004563172,0.000715835,0.0074728],"category_scores_gemma":[0.008407633,0.0001579898,0.0004380366,0.001527598,0.001101188,0.0009898447,0.001326166,0.0009856006,0.0004238961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006091255,"about_ca_system_score_gemma":0.001217705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03153374,"about_ca_topic_score_gemma":0.05454606,"domain_scores_codex":[0.9994162,0.0003517275,0.00003302984,0.00004113311,0.00004172484,0.0001162652],"domain_scores_gemma":[0.9965487,0.00136235,0.0007572717,0.0001279176,0.0001788272,0.001025012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001247483,0.0001510501,0.9856178,0.00002138593,0.00005625335,0.0002133985,0.002092334,0.0002374678,0.0000534754,0.002223686,0.0003644149,0.008843884],"study_design_scores_gemma":[0.00001204497,0.0001377769,0.9813513,0.00008518616,0.0000584372,0.0002074503,0.01404653,0.0007640474,0.00008093224,0.001753047,0.001488143,0.00001514814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943921,0.001880483,0.0001123137,0.001241345,0.00002859517,0.000004188978,0.0001219745,0.00000301428,0.002216087],"genre_scores_gemma":[0.9983249,0.0007033057,0.00003447559,0.00005519975,0.00002677641,0.000002621686,0.00005616573,0.000001378114,0.0007951429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03153374,"threshold_uncertainty_score":0.06270039,"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."}}