{"id":"W3166932706","doi":"10.1093/ijrl/eeab010","title":"Community Sponsorship of Refugees and COVID-19’s Challenges","year":2020,"lang":"en","type":"article","venue":"International Journal of Refugee Law","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Political science; Government (linguistics); Politics; General partnership; Public administration; Economic growth; Pandemic; Work (physics); Coronavirus disease 2019 (COVID-19); International community; Public relations; Closure (psychology); Law; Medicine; Infectious disease (medical specialty); Economics","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":[0.01562231,0.0004848135,0.000564492,0.001046564,0.03492011,0.01487922,0.002510379,0.006312534,0.01318098],"category_scores_gemma":[0.02030843,0.0004665913,0.0004977313,0.001152958,0.01968019,0.00964782,0.02702059,0.01410258,0.001065617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008772273,"about_ca_system_score_gemma":0.02024223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02283108,"about_ca_topic_score_gemma":0.05369236,"domain_scores_codex":[0.9857569,0.008266618,0.0003311812,0.0006979241,0.001241266,0.003706105],"domain_scores_gemma":[0.9625562,0.004387604,0.001436655,0.0006348721,0.001956195,0.02902854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008896338,0.0003297689,0.01079439,0.0004584251,0.00003158311,0.004514538,0.5177124,0.0002026131,0.0003609455,0.07466783,0.3309125,0.05992617],"study_design_scores_gemma":[0.00002219741,0.0000861252,0.002391173,0.0006620729,0.000005132816,0.001257147,0.6048505,0.00009877072,0.00005844648,0.006343035,0.3841864,0.00003893472],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.197286,0.01320527,0.0009789144,0.733688,0.01045156,0.0001506162,0.0001288693,0.00007423597,0.04403645],"genre_scores_gemma":[0.8997848,0.01094144,0.001274117,0.06381548,0.003958471,0.0002650103,0.000165884,0.0001452135,0.01964964],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03492011,"threshold_uncertainty_score":0.08261961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083164663111388,"score_gpt":0.4079305966998619,"score_spread":0.2996141303887232,"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."}}