{"id":"W3161034244","doi":"10.1139/facets-2021-0014","title":"Supporting Canada’s COVID-19 resilience and recovery through robust immigration policy and programs","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Mount Royal University; Wilfrid Laurier University; Positive Living Society of British Columbia; University of Toronto; Toronto Metropolitan University; Queen's University; Nipissing University; Western University","funders":"","keywords":"Immigration; Immigration policy; Refugee; Political science; Residence; Pandemic; Government (linguistics); Economic growth; Resilience (materials science); Immigration law; Coronavirus disease 2019 (COVID-19); Development economics; Demographic economics; Economics; Medicine; Law; 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":[0.005197101,0.0005692624,0.0004864081,0.00217656,0.03142587,0.009724508,0.002793407,0.003065553,0.01550966],"category_scores_gemma":[0.01207298,0.0004034527,0.0009247353,0.00159098,0.008528761,0.00264977,0.01369728,0.007072208,0.001219896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1068939,"about_ca_system_score_gemma":0.5524848,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9770539,"about_ca_topic_score_gemma":0.9931814,"domain_scores_codex":[0.9930158,0.001075789,0.0001097894,0.0002449993,0.001212569,0.004341165],"domain_scores_gemma":[0.9791771,0.0009374418,0.0005037048,0.0003273427,0.003985716,0.01506871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001214006,0.0005169615,0.05168031,0.0008751926,0.0001222561,0.001185035,0.03868848,0.001428649,0.001055618,0.06631284,0.6294453,0.208568],"study_design_scores_gemma":[0.00008344687,0.000168502,0.07978157,0.003437794,0.0001144148,0.000284353,0.1448509,0.0009062543,0.0005396391,0.01339792,0.7562056,0.0002296588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.11558,0.009851881,0.003248629,0.6991023,0.00344984,0.0005392249,0.001135269,0.0004751188,0.1666177],"genre_scores_gemma":[0.7815504,0.01492749,0.01404934,0.1239847,0.0006356659,0.0004278201,0.00100952,0.0002198372,0.06319524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1068939,"threshold_uncertainty_score":0.7755732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03908523992865735,"score_gpt":0.364632914051913,"score_spread":0.3255476741232556,"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."}}