{"id":"W4291728210","doi":"10.3138/cpp.2022-010","title":"Navigating Uncertainties: Evaluating the Shift in Canadian Immigration Policies during the COVID-19 Pandemic","year":2022,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Immigration; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Immigration policy; Development economics; Virology; Economics; Medicine; Law; Outbreak; Infectious disease (medical specialty)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.02392006,0.0007082607,0.0005880783,0.003835239,0.03326977,0.01448555,0.003461972,0.002988143,0.002870746],"category_scores_gemma":[0.04403088,0.0005781502,0.000725269,0.006841626,0.01297398,0.004141053,0.007810599,0.004069744,0.0001948952],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2811472,"about_ca_system_score_gemma":0.296601,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876773,"about_ca_topic_score_gemma":0.9936528,"domain_scores_codex":[0.9827116,0.005673131,0.000658053,0.0006994017,0.004636765,0.005621137],"domain_scores_gemma":[0.9712228,0.009514702,0.003125361,0.0004739403,0.01179217,0.003871031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002427359,0.0001351632,0.06245933,0.0004966572,0.00005748116,0.001206697,0.8887886,0.001835632,0.0005311601,0.0113263,0.00647937,0.02644081],"study_design_scores_gemma":[0.000005906947,0.00003645759,0.02161298,0.0001982098,0.00001981777,0.00002053213,0.9643186,0.0004365506,0.0001267692,0.0005316039,0.01264757,0.00004489277],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259775,0.001183367,0.0006572534,0.01721849,0.00008821037,0.0004317262,0.0004811686,0.00002343498,0.05393887],"genre_scores_gemma":[0.9953604,0.0008191117,0.0008737016,0.0009686636,0.00001010715,0.0001041753,0.0001579836,0.00001067059,0.0016951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7188528,"threshold_uncertainty_score":0.8337673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779165376888015,"score_gpt":0.3828516383442676,"score_spread":0.3250599845753875,"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."}}