{"id":"W3003309740","doi":"10.1002/psp.2316","title":"Are refugees more likely to leave initial destinations than economic immigrants? Recent evidence from Canadian longitudinal administrative data","year":2020,"lang":"en","type":"article","venue":"Population Space and Place","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Refugee; Residence; Demographic economics; Destinations; Settlement (finance); Geography; Immigration policy; Political science; Demography; Economic growth; Sociology; Business; Economics; Payment","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002394501,0.0001111069,0.000137456,0.00006068485,0.0004623969,0.0002004338,0.0002320086,0.00008004897,0.0003032414],"category_scores_gemma":[0.001002085,0.0001208623,0.00001649847,0.0002184284,0.0000537122,0.0005526654,0.00004603614,0.0001103424,0.00006013468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001626816,"about_ca_system_score_gemma":0.0003842697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4014234,"about_ca_topic_score_gemma":0.9864541,"domain_scores_codex":[0.9989385,0.0001370945,0.0001769575,0.0003724802,0.0001788464,0.0001961365],"domain_scores_gemma":[0.9989223,0.0001825506,0.0001443485,0.0001889718,0.0000813775,0.0004804025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001166337,0.00001453832,0.9205759,0.000009168215,0.00003076335,0.0000161125,0.05385026,0.001403308,0.00001513638,0.004700669,0.0164396,0.002827935],"study_design_scores_gemma":[0.0002051377,0.00005322565,0.8808415,0.00009449282,0.00004349141,0.000001009605,0.01734709,0.01379822,0.00001747519,0.0001380672,0.08712377,0.0003365108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9077744,0.0001440188,0.0004611496,0.08982337,0.0001416423,0.0002993784,0.001000022,0.00004326594,0.0003126864],"genre_scores_gemma":[0.9969724,0.0001694174,0.0008371814,0.001033124,0.0002940109,0.00000720145,0.0004076669,0.000008067408,0.0002709678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5850306,"threshold_uncertainty_score":0.6025625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1817875501177317,"score_gpt":0.4079709947795011,"score_spread":0.2261834446617694,"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."}}