{"id":"W7105881277","doi":"10.14288/workplace.v36i1.187159","title":"Impact of COVID-19 on the Employment of Immigrants","year":2024,"lang":"en","type":"article","venue":"Open Collections","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Temporary work; Precarious work; Work (physics); Pandemic; Coronavirus disease 2019 (COVID-19); Neoliberalism (international relations); Job market","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":[0.001000756,0.0002259935,0.0002935491,0.001229181,0.001695838,0.002132234,0.0004732088,0.0005084933,0.008506448],"category_scores_gemma":[0.005254897,0.0001099381,0.0003758325,0.002234323,0.00100517,0.0005621669,0.001623634,0.001379312,0.0003788926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01940587,"about_ca_system_score_gemma":0.01644841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9485387,"about_ca_topic_score_gemma":0.9532367,"domain_scores_codex":[0.9989778,0.0001653712,0.00002963851,0.0000512258,0.0002261892,0.0005498678],"domain_scores_gemma":[0.9976132,0.0006030767,0.0004620361,0.00005772144,0.0006026265,0.0006614645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001856573,0.0001804939,0.9206303,0.0001189849,0.00008697095,0.001141447,0.003172708,0.00707139,0.0001418457,0.02105818,0.01923743,0.0269746],"study_design_scores_gemma":[0.00001940489,0.00007927111,0.9449891,0.0002615374,0.00006510504,0.000105963,0.02037532,0.01054112,0.000150688,0.003987074,0.0193838,0.00004157747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531388,0.001977165,0.0002628257,0.007756411,0.00007711041,0.00004527251,0.003737979,0.00002047899,0.03298394],"genre_scores_gemma":[0.9907148,0.0009407674,0.00007521363,0.0002224879,0.00003456969,0.00001103127,0.0009225295,0.00000551871,0.007072995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9485387,"threshold_uncertainty_score":0.1408001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09409716180873981,"score_gpt":0.3436989259011737,"score_spread":0.2496017640924339,"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."}}