{"id":"W2470864450","doi":"","title":"Immigration and Population in Canada: A Dependent Relationship Case Study of Cuban Immigration","year":2015,"lang":"en","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Cuban History and Society","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Emigration; Population; Demographic economics; Immigration policy; Geography; Population growth; Political science; Demography; Development economics; Economic growth; Economics; Sociology","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":[0.0007989948,0.0003780525,0.0003582619,0.001749844,0.01944948,0.002572675,0.001384855,0.001127724,0.002379705],"category_scores_gemma":[0.001716009,0.0002400468,0.0003540547,0.004377941,0.001981043,0.0006961474,0.003085179,0.00156556,0.000186921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05327068,"about_ca_system_score_gemma":0.04842513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9913704,"about_ca_topic_score_gemma":0.9962232,"domain_scores_codex":[0.9990883,0.0002222967,0.00001914698,0.00005042623,0.0001318898,0.0004879198],"domain_scores_gemma":[0.9991335,0.0001510102,0.00007922843,0.0000310163,0.0002877346,0.0003175378],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003027504,0.0008565445,0.4779471,0.0002912877,0.0001165538,0.03702204,0.3489316,0.001561555,0.001245876,0.04105551,0.02874728,0.06192185],"study_design_scores_gemma":[0.00003154131,0.0000908865,0.2005181,0.0002542861,0.00008364676,0.003109694,0.7096959,0.001763964,0.0004233361,0.0009889922,0.08296292,0.00007678238],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758387,0.001103899,0.0001698606,0.002762829,0.00003896118,0.0001018066,0.0004654642,0.000009531001,0.01950891],"genre_scores_gemma":[0.9822981,0.00249234,0.0006054355,0.0007446887,0.0000154557,0.00007116316,0.0003164332,0.00001283824,0.01344348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05327068,"threshold_uncertainty_score":0.3865077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03368587063176905,"score_gpt":0.2641734715669493,"score_spread":0.2304876009351802,"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."}}