{"id":"W2912479735","doi":"10.1177/0032329218820870","title":"Discrimination and Policies of Immigrant Selection in Liberal States","year":2019,"lang":"en","type":"article","venue":"Politics & Society","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Lunds Universitet; American Political Science Association","keywords":"Immigration; Immigration policy; Liberalism; Citizenship; Obligation; Welfare state; Political science; Context (archaeology); Political economy; Sociology; Law and economics; Law; Positive economics; Economics; Politics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004381165,0.0001419228,0.0002073518,0.0007970348,0.005187399,0.004815787,0.0003646318,0.001457624,0.003259993],"category_scores_gemma":[0.009597705,0.0001530995,0.0002380914,0.0007860411,0.01426279,0.00162686,0.004215082,0.002060619,0.0001908002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004380897,"about_ca_system_score_gemma":0.003381949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004701765,"about_ca_topic_score_gemma":0.007445183,"domain_scores_codex":[0.9962636,0.002058031,0.00008333464,0.0002549644,0.0003413782,0.0009987201],"domain_scores_gemma":[0.9963635,0.001494233,0.0007270537,0.0004794472,0.0003264321,0.0006094119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004830887,0.00005906792,0.01197748,0.00001522907,0.000007283289,0.0000732133,0.006172235,0.0006901924,0.0003609963,0.9718466,0.0007559861,0.007993285],"study_design_scores_gemma":[0.00006631977,0.0001212507,0.032465,0.0001559172,0.00002640308,0.0001047388,0.01628064,0.00286769,0.001425311,0.9153745,0.03107113,0.00004111429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8450117,0.0003219509,0.002884164,0.01574457,0.00007378338,0.00003015476,0.00002747823,0.00001777486,0.1358885],"genre_scores_gemma":[0.9979578,0.00004589434,0.0001657143,0.0004447195,0.00001440789,0.00000887786,0.000002866572,0.00000234939,0.001357439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005187399,"threshold_uncertainty_score":0.03178579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009418532620140418,"score_gpt":0.2882439728043816,"score_spread":0.2788254401842412,"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."}}