{"id":"W3170950985","doi":"10.2139/ssrn.4997227","title":"Bordering the Pandemic: COVID-19, Immigration, and Emergency","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Immigration; Political science; Virology; Medicine; Law; Infectious disease (medical specialty); Outbreak; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001728144,0.0002065475,0.0003050242,0.001310551,0.004713942,0.007123678,0.0007253751,0.002970562,0.01567236],"category_scores_gemma":[0.007695785,0.0001900681,0.0003021968,0.0017427,0.003697205,0.005405311,0.006108846,0.004236831,0.0004739946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002364364,"about_ca_system_score_gemma":0.004696016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02089644,"about_ca_topic_score_gemma":0.04441196,"domain_scores_codex":[0.9984069,0.0005421523,0.00005793719,0.00009425108,0.0001054662,0.0007933169],"domain_scores_gemma":[0.9960348,0.0007702387,0.001027864,0.0000976087,0.0002205963,0.001848799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008031537,0.001006245,0.5062248,0.0004582698,0.0001379679,0.003441709,0.08845381,0.001404289,0.0004045588,0.230466,0.06065258,0.1065467],"study_design_scores_gemma":[0.0000507057,0.000266325,0.2946132,0.001247274,0.00005713051,0.0008907003,0.5900388,0.001530411,0.0001138677,0.04349357,0.06758949,0.0001085216],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7916526,0.007691431,0.0004591568,0.1027728,0.001189176,0.00004937569,0.000391427,0.00002099914,0.095773],"genre_scores_gemma":[0.993485,0.002222001,0.00007485398,0.001709862,0.0003049372,0.00001402575,0.00009466257,0.000007742046,0.002086884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02089644,"threshold_uncertainty_score":0.05242926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478917402651492,"score_gpt":0.3290747205615788,"score_spread":0.3142855465350639,"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."}}