{"id":"W4385190713","doi":"10.32920/23726085","title":"A COVID-19 State of Exception and the Bordering of Canada’s Immigration System: Assessing the Uneven Impacts on Refugees, Asylum Seekers and Temporary-foreign Workers","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Biomedical Research Council; York University; Government of Canada","keywords":"Refugee; Immigration; Human rights; Political science; Resilience (materials science); Psychological resilience; Development economics; Demographic economics; Criminology; Sociology; Economics; Law; Psychology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002275804,0.0003315105,0.0003692375,0.002518354,0.01203306,0.007022172,0.001654879,0.0009392312,0.002643469],"category_scores_gemma":[0.006334073,0.0002666344,0.0005581686,0.004973323,0.006299879,0.001771813,0.006928982,0.002026036,0.0001361824],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07241833,"about_ca_system_score_gemma":0.09684074,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889709,"about_ca_topic_score_gemma":0.9944822,"domain_scores_codex":[0.9979249,0.0002287433,0.00006831851,0.0001167989,0.0005161103,0.001145227],"domain_scores_gemma":[0.9948151,0.0006256828,0.0008058358,0.0001738657,0.00189819,0.001681439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001006651,0.0001074407,0.8906851,0.0001142417,0.00005731564,0.0005184565,0.07893606,0.0008237332,0.0002235166,0.009472174,0.003709409,0.01525177],"study_design_scores_gemma":[0.000003083332,0.00003814093,0.7033459,0.0001943026,0.00002047493,0.0000476979,0.2893694,0.0006217535,0.00007947486,0.0004653735,0.00578865,0.00002567887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902995,0.0002765235,0.00009326061,0.001434924,0.00001545577,0.0000522089,0.0005295337,0.000003396745,0.00729524],"genre_scores_gemma":[0.9976404,0.000320006,0.000155493,0.0001962101,0.000004576968,0.00002692312,0.0003394862,0.000004303113,0.001312759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9275817,"threshold_uncertainty_score":0.5254343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199576015661244,"score_gpt":0.3447038962617809,"score_spread":0.3127081361051685,"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."}}