{"id":"W4386710449","doi":"10.20955/wp.2023.022","title":"The Heterogeneous Impacts of Job Displacement: Evidence from Canadian Job Separation Records","year":2023,"lang":"en","type":"report","venue":"","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Displaced workers; Separation (statistics); Demographic economics; Business; Computer science; Economics; Accounting; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.006512049,0.0003564585,0.0004448076,0.004225135,0.003899478,0.00221975,0.00204348,0.0005760835,0.002617614],"category_scores_gemma":[0.04017583,0.0003285457,0.0003699065,0.01063875,0.002082211,0.0009247247,0.002660143,0.001048785,0.0002821511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01523544,"about_ca_system_score_gemma":0.01653688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9842961,"about_ca_topic_score_gemma":0.9897837,"domain_scores_codex":[0.9921858,0.001134,0.000407619,0.0008012166,0.004288352,0.001182884],"domain_scores_gemma":[0.9659613,0.009102717,0.01222686,0.002580902,0.008844281,0.001283822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001198507,0.00002886181,0.9696617,0.00009510779,0.0001586106,0.00007719536,0.003250667,0.0008780548,0.00009693859,0.00140979,0.003142529,0.02108067],"study_design_scores_gemma":[0.000004445118,0.000008634049,0.9944173,0.00005949947,0.00003777154,0.00001527093,0.002187553,0.0004662066,0.00007299329,0.0001904432,0.002527461,0.00001237092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706566,0.002138399,0.001218776,0.001705294,0.00002695927,0.00007704373,0.01107004,0.00001625312,0.01309077],"genre_scores_gemma":[0.992391,0.001195045,0.0004039118,0.0001612053,0.00001758285,0.00001877129,0.004458684,0.000008809499,0.001345029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570386,"threshold_uncertainty_score":0.1105413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.084292042637591,"score_gpt":0.4019128626778179,"score_spread":0.3176208200402269,"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."}}