{"id":"W7008357978","doi":"","title":"CAN IMMIGRATION COMPENSATE FOR BELOW-REPLACEMENT FERTILITY?: THE CONSEQUENCES OF THE UNBALANCED SETTLEMENT OF IMMIGRANTS IN CANADIAN CITIES, 2001-2051.","year":2006,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Settlement (finance); Distribution (mathematics); Internal migration; Population; Age structure; Population growth; Fertility","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000934434,0.0003617526,0.0002921634,0.0006233102,0.003013466,0.001952805,0.001341611,0.0008951541,0.002571203],"category_scores_gemma":[0.003570049,0.0002187604,0.0007242534,0.001500298,0.0009048652,0.0008721706,0.001242654,0.000768502,0.0002075862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02994523,"about_ca_system_score_gemma":0.02551734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9750049,"about_ca_topic_score_gemma":0.9902029,"domain_scores_codex":[0.9992631,0.00006408922,0.0000173985,0.00006385166,0.0001598402,0.0004317217],"domain_scores_gemma":[0.9987614,0.0000860162,0.000317541,0.00005855047,0.0004782359,0.0002982552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002537024,0.00005703686,0.9339656,0.0001367896,0.0001510408,0.001008937,0.002139132,0.01089476,0.0007518932,0.00605939,0.007569516,0.0370122],"study_design_scores_gemma":[0.00001604864,0.00007226246,0.9760641,0.00006144983,0.000116579,0.0002542101,0.006763026,0.005748906,0.000298755,0.001045748,0.009526946,0.00003201213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843892,0.001208291,0.0002842977,0.004616091,0.00005239211,0.00003188093,0.002442112,0.00001699193,0.006958762],"genre_scores_gemma":[0.9974465,0.0004971542,0.000157791,0.0001421354,0.000007916072,0.000004870369,0.0005388871,0.000003600464,0.001201026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02994523,"threshold_uncertainty_score":0.2172688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0522928841311416,"score_gpt":0.3061771859043804,"score_spread":0.2538843017732388,"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."}}