{"id":"W6964856260","doi":"10.32920/23739360","title":"The Political Economy of a Modern Pandemic: Assessing Impacts of COVID-19 on Migrants and Immigrants in Canada","year":2023,"lang":"en","type":"article","venue":"","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Neoliberalism (international relations); Pandemic; Inequality; Politics; Immigration policy; Job loss","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009870492,0.0002956635,0.0003399097,0.0011134,0.005389005,0.002615701,0.0009563541,0.0007499955,0.002892253],"category_scores_gemma":[0.002734941,0.0001633639,0.0004522674,0.002275472,0.001848671,0.0007437996,0.002871157,0.001481844,0.0001448866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05848709,"about_ca_system_score_gemma":0.05202773,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951947,"about_ca_topic_score_gemma":0.9968672,"domain_scores_codex":[0.9990759,0.0001183006,0.00001774923,0.00003804716,0.0001453232,0.0006047077],"domain_scores_gemma":[0.9981665,0.0002112364,0.0003312354,0.00003035955,0.0004715721,0.0007890548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001882126,0.0001360141,0.9570023,0.00009615012,0.0000765912,0.0004589133,0.01418666,0.002190606,0.000241351,0.003652767,0.004930968,0.0168395],"study_design_scores_gemma":[0.00001096961,0.00005259618,0.9238352,0.0001025587,0.00003366925,0.00004355277,0.06752028,0.002227945,0.000096546,0.0003671295,0.005676185,0.00003333983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920064,0.0004398927,0.00005228537,0.002347155,0.0000122251,0.00003098636,0.0007131615,0.000003111243,0.004394927],"genre_scores_gemma":[0.9976901,0.0005133158,0.00006457912,0.0002518081,0.000006857306,0.00001349274,0.0003370506,0.000002827773,0.001120033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05848709,"threshold_uncertainty_score":0.4243555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04204582347355251,"score_gpt":0.2576176656994735,"score_spread":0.215571842225921,"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."}}