{"id":"W2146547175","doi":"10.1111/1468-2257.00195","title":"Estimating the Refugee Population from PUMS Data: Issues and Demographic Implications","year":2002,"lang":"en","type":"article","venue":"Growth and Change","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Refugee; Immigration; Population; Microdata (statistics); Demographic economics; Geography; Human capital; Census; Political science; Demography; Economic growth; Economics; Sociology","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":[0.02343998,0.0005783546,0.001011877,0.00427633,0.001332216,0.002444821,0.002090695,0.0009131847,0.002392596],"category_scores_gemma":[0.1514757,0.000535089,0.0006596772,0.009221783,0.0009973102,0.002905562,0.003050036,0.00151257,0.0005252779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309138,"about_ca_system_score_gemma":0.001938211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07908502,"about_ca_topic_score_gemma":0.05077899,"domain_scores_codex":[0.9731874,0.02156609,0.001420836,0.001136085,0.002073333,0.0006161905],"domain_scores_gemma":[0.9517572,0.03782351,0.003697597,0.002885054,0.002980345,0.0008563428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001680802,0.0001270981,0.8840513,0.0003273428,0.0003067775,0.0004940886,0.003729034,0.0121342,0.0002054214,0.01572001,0.006796509,0.07594018],"study_design_scores_gemma":[0.0001507037,0.0003710478,0.8010618,0.0009052195,0.0001914435,0.0007772828,0.03289143,0.09431188,0.001533666,0.03068885,0.03697534,0.0001413123],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8957916,0.00283039,0.06175359,0.01178759,0.0002549702,0.001029884,0.01437495,0.0002016473,0.01197538],"genre_scores_gemma":[0.9591388,0.0009467849,0.03060908,0.0006453218,0.0001459491,0.0008563887,0.006387157,0.00003094627,0.0012397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07908502,"threshold_uncertainty_score":0.1572494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07878251464588837,"score_gpt":0.3243564455930807,"score_spread":0.2455739309471923,"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."}}