{"id":"W3212348479","doi":"10.1111/imig.12930","title":"Changes in selection policy and refugee welfare use in Canada","year":2021,"lang":"en","type":"article","venue":"International Migration","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Refugee; Receipt; Immigration; Vulnerability (computing); Welfare; Political science; Demographic economics; Government (linguistics); Economic growth; Business; Economics","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":[0.0001190186,0.00004450516,0.00005059728,0.0001408176,0.00006158534,0.00007688512,0.0000459913,0.00003849515,0.0001264629],"category_scores_gemma":[0.0004512624,0.00005135007,0.000007080949,0.0003644507,0.00001413298,0.000232529,0.00001108361,0.00006717019,9.754241e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005109,"about_ca_system_score_gemma":0.0008261601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9632511,"about_ca_topic_score_gemma":0.9999902,"domain_scores_codex":[0.9993587,0.00008780571,0.0001160454,0.0001244132,0.0002152219,0.00009781542],"domain_scores_gemma":[0.9997182,0.00004569195,0.0000383158,0.00003225307,0.0001333591,0.0000321295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001613748,0.00003776745,0.6713586,0.000004306462,0.000007680398,0.00001727995,0.006982952,0.0006807697,0.0008035504,0.3104483,0.0005069394,0.009135709],"study_design_scores_gemma":[0.0002733762,0.000006617261,0.6977068,0.00002415608,0.000001584684,0.000003307661,0.004651209,0.01115053,0.0002601391,0.0005794929,0.2852274,0.0001154213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550211,0.00001795402,0.00003475749,0.0433634,0.0001888302,0.00006273873,0.00001469046,0.000009200558,0.001287294],"genre_scores_gemma":[0.9969879,0.0002482029,0.0001112754,0.0005884896,0.0001252291,0.00001048375,0.00005647424,0.000003265031,0.001868706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3098688,"threshold_uncertainty_score":0.2628324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136588820303649,"score_gpt":0.2878764362087921,"score_spread":0.2742175541784272,"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."}}