{"id":"W4242941697","doi":"10.32920/ryerson.14638605","title":"Private sponsorship in refugee admission: Standard in Canada, trend in Germany?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Pillar; German; Scope (computer science); Political science; Public administration; State (computer science); Economic growth; Law; Geography; Economics; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002656583,0.0002323827,0.0004507292,0.0003676344,0.00008552732,0.0001403572,0.0003701867,0.000369656,0.002317539],"category_scores_gemma":[0.001070359,0.0002199464,0.0000663769,0.0006348453,0.00005127391,0.0002189982,0.0001247776,0.0007778187,0.000003434807],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003563144,"about_ca_system_score_gemma":0.009802114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.940116,"about_ca_topic_score_gemma":0.9999619,"domain_scores_codex":[0.9961284,0.001460554,0.0007221796,0.0005430601,0.0007102422,0.0004355646],"domain_scores_gemma":[0.9990605,0.0002073451,0.0001638839,0.0003297276,0.00007350829,0.0001650858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001394908,0.0005195966,0.6572881,0.0005069057,0.00005951376,0.001010294,0.1658285,0.002794298,0.0004750428,0.1337115,0.01572024,0.02069115],"study_design_scores_gemma":[0.0009307393,0.00003713678,0.5405585,0.001291146,0.00001063746,0.000001576356,0.01435688,0.0006671253,0.0007089862,0.004343743,0.4361348,0.0009587891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852908,0.0003508801,0.0000323712,0.001525689,0.0004927046,0.0004067972,0.00002682823,0.00002388871,0.01185009],"genre_scores_gemma":[0.9943702,0.0005240503,0.0003794013,0.000206989,0.0001357018,0.00005365277,0.0001085967,0.00001409367,0.004207359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4204146,"threshold_uncertainty_score":0.9985945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02279297968563851,"score_gpt":0.3043441358313244,"score_spread":0.2815511561456858,"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."}}