{"id":"W2923816517","doi":"10.1093/sf/soz157","title":"Refuge Beyond Reach: How Rich Democracies Repel Asylum Seekers","year":2019,"lang":"en","type":"article","venue":"Social Forces","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Product (mathematics); Political science; Seekers; Sociology; Media studies; History; 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":[0.004147565,0.0003592731,0.0003972557,0.001059871,0.02157915,0.01045513,0.001332839,0.004987903,0.0201235],"category_scores_gemma":[0.01139674,0.0002891487,0.0005047666,0.0009270471,0.01737708,0.007031118,0.01297521,0.006522561,0.002165893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004401068,"about_ca_system_score_gemma":0.005873491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077356,"about_ca_topic_score_gemma":0.05448116,"domain_scores_codex":[0.9947597,0.002878217,0.00007058909,0.0002262712,0.0002735413,0.001791658],"domain_scores_gemma":[0.9966569,0.001612856,0.0003566644,0.0001788558,0.0002216595,0.0009729571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001678832,0.0003009047,0.01044611,0.0002424229,0.00005768111,0.001544815,0.4408513,0.0003120362,0.0006107281,0.3617325,0.122369,0.06136473],"study_design_scores_gemma":[0.00008468144,0.0001099293,0.007088556,0.0004914533,0.00002635435,0.0002253514,0.4860446,0.0002075918,0.0004053937,0.03124379,0.474018,0.00005436332],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3398925,0.004742966,0.001167033,0.2674446,0.002009722,0.0001037147,0.0001151263,0.0001157315,0.3844087],"genre_scores_gemma":[0.9217256,0.001636158,0.0003387684,0.03626368,0.0002570043,0.00007848721,0.00004451429,0.00009889962,0.03955691],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02157915,"threshold_uncertainty_score":0.06731987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0325085988422232,"score_gpt":0.3763928069089494,"score_spread":0.3438842080667262,"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."}}