{"id":"W4385726873","doi":"10.32920/23929107","title":"COVID-19, Migration and the Canadian Immigration System: Dimensions, Impact and Resilience","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs; Toronto Metropolitan University; University of British Columbia","funders":"","keywords":"Immigration; Coronavirus disease 2019 (COVID-19); Pandemic; Context (archaeology); Psychological resilience; Political science; Settlement (finance); Resilience (materials science); Development economics; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Demographic economics; Inequality; Geography; Economic growth; Sociology; Business; Psychology; Economics; Medicine; Law; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002056767,0.0004999114,0.0003337087,0.003390627,0.01444812,0.00743659,0.001056228,0.0008084525,0.005322747],"category_scores_gemma":[0.0042767,0.000210557,0.0004976957,0.006747402,0.006544465,0.001683927,0.004691096,0.001640319,0.0002406147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09748274,"about_ca_system_score_gemma":0.1831399,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9900685,"about_ca_topic_score_gemma":0.9946056,"domain_scores_codex":[0.9984295,0.0002072342,0.000039672,0.00008264822,0.0005478635,0.0006931709],"domain_scores_gemma":[0.9978275,0.0002210342,0.0002217356,0.00004759258,0.0009288297,0.0007532847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001734538,0.0001347306,0.2641621,0.002057683,0.0001833478,0.001150154,0.1838032,0.00142218,0.0004521807,0.1333534,0.11996,0.2931474],"study_design_scores_gemma":[0.00001207777,0.00006249061,0.3838318,0.003567865,0.0001100782,0.0003298472,0.3535583,0.0003898373,0.0002285722,0.007551685,0.250226,0.0001314761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5118408,0.08002847,0.000892141,0.1132828,0.001718588,0.0002872564,0.003601699,0.00008118853,0.2882672],"genre_scores_gemma":[0.9207423,0.06003721,0.0008565266,0.002918357,0.0001449816,0.0000662958,0.0009082002,0.00002689574,0.01429925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09748274,"threshold_uncertainty_score":0.7072901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03897302813493324,"score_gpt":0.3641585550297218,"score_spread":0.3251855268947886,"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."}}