{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001786507,0.0002257982,0.0003310251,0.0003879849,0.0006357554,0.00009509754,0.001061778,0.0001215727,0.00002063402],"category_scores_gemma":[0.00004660822,0.0001898278,0.0001851914,0.0008794212,0.0009075232,0.000381882,0.0001162299,0.0002191078,0.00000246885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007087513,"about_ca_system_score_gemma":0.0007419735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3366511,"about_ca_topic_score_gemma":0.9942195,"domain_scores_codex":[0.9970815,0.0006680751,0.0005061787,0.0003787772,0.0006582664,0.0007072435],"domain_scores_gemma":[0.998501,0.0001428886,0.0004302201,0.0005195216,0.0002753637,0.0001310071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009012391,0.00006779049,0.9933388,0.00005778315,0.00005115985,0.000005873127,0.002632057,0.0001184654,0.0002533619,0.00330026,0.000008972663,0.00007538626],"study_design_scores_gemma":[0.000802181,0.00005693885,0.987765,0.0001266779,0.00007969427,3.838613e-7,0.0062171,0.000001533453,0.001220618,0.001141546,0.002389865,0.0001984776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99415,0.00007580024,0.00002049521,0.002731427,0.0003237254,0.001579236,0.000484139,0.00002327207,0.0006118597],"genre_scores_gemma":[0.9981804,0.00005326388,0.00001692259,0.0002384908,0.00003338874,0.0000117178,0.00004664337,0.00001366086,0.001405511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6575685,"threshold_uncertainty_score":0.7740952,"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."}}