{"id":"W4281483102","doi":"10.3138/cpp.2021-043","title":"The Differential Impact of COVID-19 on Labour Market Outcomes of Immigrants in Canada","year":2022,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Immigration; Demographic economics; Pandemic; Differential (mechanical device); Coronavirus disease 2019 (COVID-19); Economics; Quantile regression; Quantile; China; Labour economics; Geography; Medicine; Econometrics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00145858,0.0003433984,0.0003576957,0.001197705,0.002072854,0.00148318,0.00102516,0.0004872785,0.003121701],"category_scores_gemma":[0.005698786,0.000181096,0.0006831816,0.002234735,0.001145203,0.0003908458,0.002200262,0.001323694,0.0002375025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01859741,"about_ca_system_score_gemma":0.0247044,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9886981,"about_ca_topic_score_gemma":0.9940565,"domain_scores_codex":[0.9985794,0.0001498473,0.00005296959,0.000121874,0.0003700338,0.0007259337],"domain_scores_gemma":[0.9969373,0.0003195948,0.0007036502,0.0001092022,0.001037113,0.0008930544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001298438,0.00004137997,0.9878434,0.00003074755,0.00008397295,0.0000900717,0.001169184,0.0006956217,0.0001102369,0.0006522732,0.001727644,0.007425525],"study_design_scores_gemma":[0.000005608611,0.00001872117,0.9971308,0.00003284051,0.00001770042,0.00001311404,0.001384638,0.0004027176,0.00003930453,0.00008923333,0.000852499,0.00001280477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893928,0.000757169,0.0001091939,0.001578082,0.00002870518,0.0000262282,0.003597597,0.000008152197,0.004502204],"genre_scores_gemma":[0.9968917,0.0004320537,0.00005678665,0.0001379486,0.000009895049,0.000008541543,0.001518826,0.000004065965,0.0009401954],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01859741,"threshold_uncertainty_score":0.1349343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04330346678775087,"score_gpt":0.3854324302043391,"score_spread":0.3421289634165883,"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."}}