{"id":"W3083973241","doi":"10.1080/00343404.2020.1808882","title":"Making regional citizens? The political drivers and effects of subnational immigrant integration policies in Europe and North America","year":2020,"lang":"en","type":"article","venue":"Regional Studies","topic":"Social Policy and Reform Studies","field":"Social Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"nccr – on the move; Eidgenössische Technische Hochschule Zürich; Universität Konstanz; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Politics; Immigration; Cultural assimilation; Political science; Economic integration; Regional policy; Regional integration; Political economy; Public administration; Sociology; Law","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":[0.001980107,0.0001191804,0.0002634784,0.0007604115,0.001433703,0.003649725,0.0004170847,0.0005974435,0.003500545],"category_scores_gemma":[0.003284459,0.00009816808,0.000243126,0.001438177,0.002180851,0.001733644,0.002626908,0.0006471864,0.0001936466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003168163,"about_ca_system_score_gemma":0.002079016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0482569,"about_ca_topic_score_gemma":0.07031894,"domain_scores_codex":[0.9986832,0.0006428588,0.0000301348,0.0001261894,0.00008522008,0.0004324788],"domain_scores_gemma":[0.9982744,0.0005281528,0.000583566,0.00007570281,0.0001220703,0.0004159861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000566833,0.0005261561,0.5417393,0.0003821823,0.0003109899,0.0005795223,0.1027221,0.00286186,0.001474001,0.2324853,0.009399417,0.1069524],"study_design_scores_gemma":[0.00004284059,0.000127881,0.778892,0.0003843457,0.000125859,0.00007689282,0.1621587,0.0009402033,0.0004628787,0.0091618,0.0475944,0.00003217651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639475,0.001703313,0.0001690612,0.004989826,0.0000315041,0.000008085415,0.00005860369,0.000008543499,0.02908348],"genre_scores_gemma":[0.9981174,0.0007159308,0.00005934406,0.0002802251,0.00001485326,0.000007083569,0.00002949804,0.000004616634,0.0007710025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0482569,"threshold_uncertainty_score":0.09595203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09794616680736022,"score_gpt":0.3563982339739848,"score_spread":0.2584520671666246,"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."}}