{"id":"W6922171961","doi":"10.11586/2023049","title":"Learning from Canada? Useful Insights for Germany’s Integration Policy","year":2023,"lang":"en","type":"article","venue":"Bertelsmann Stiftung","topic":"Diaspora, migration, transnational identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Viewpoints; Multiculturalism; Diversity (politics); General partnership; Immigration; Civil society; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003534643,0.0001300077,0.0001562746,0.0002153649,0.0008973099,0.000175998,0.0002552624,0.00009746573,0.00007016119],"category_scores_gemma":[0.0008472148,0.0001409182,0.00007300579,0.0008102766,0.00008123549,0.0005134291,0.00002429479,0.0001311848,0.00006988981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004730628,"about_ca_system_score_gemma":0.001720974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.895489,"about_ca_topic_score_gemma":0.9883022,"domain_scores_codex":[0.9983626,0.0001342561,0.0002652421,0.0002959752,0.0005994157,0.0003425134],"domain_scores_gemma":[0.9988415,0.0004890614,0.000106036,0.0001306348,0.0002942862,0.0001384614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00007898186,0.0001145984,0.04708291,0.00005131371,0.0002443761,0.0000408014,0.1262464,0.003607824,0.002788597,0.7001788,0.0868193,0.03274608],"study_design_scores_gemma":[0.0005214293,0.00002985032,0.5936118,0.00004151849,0.00005047524,3.086442e-7,0.01036667,0.003683351,0.0005198733,0.02949957,0.3612232,0.0004519403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828619,0.00006013063,0.001665278,0.007083965,0.0007659331,0.0004826729,0.00006701357,0.0003134817,0.006699632],"genre_scores_gemma":[0.9908298,0.00005304393,0.0001521505,0.0002900571,0.0008280698,0.00006599785,0.0005203927,0.00002203625,0.007238417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6706792,"threshold_uncertainty_score":0.6901473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442386136887773,"score_gpt":0.3165941471376716,"score_spread":0.2723555334488943,"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."}}