{"id":"W4403293595","doi":"10.2139/ssrn.4981771","title":"Mismatch Unemployment During COVID-19 and the Post-Pandemic Labor Shortages ","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Government of Canada","funders":"","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Unemployment; Economic shortage; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Economics; Virology; Labour economics; Medicine; Economic growth; Internal medicine; Outbreak; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001947776,0.0001903373,0.0004740662,0.0008057895,0.003837581,0.003647815,0.0007121426,0.002578434,0.01147185],"category_scores_gemma":[0.00851313,0.0003701713,0.0003063225,0.001328183,0.000869962,0.002321894,0.004276726,0.003274248,0.001208303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00431745,"about_ca_system_score_gemma":0.007400159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1363591,"about_ca_topic_score_gemma":0.2663785,"domain_scores_codex":[0.998571,0.0001927762,0.00009888515,0.000103438,0.0001445217,0.0008893149],"domain_scores_gemma":[0.9961933,0.0003878351,0.0009385964,0.000101349,0.0006544818,0.001724387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001129146,0.0005270757,0.8875407,0.0003779283,0.000113286,0.0005950775,0.02361043,0.0005379326,0.0005619013,0.007587201,0.04213679,0.03528249],"study_design_scores_gemma":[0.00002483501,0.0001586603,0.945931,0.0002552012,0.00001733901,0.00007177098,0.03723913,0.0002696554,0.00008510491,0.001147335,0.01477735,0.00002257489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498503,0.001492363,0.0001085978,0.03253849,0.0007594168,0.00004941462,0.003796034,0.00001202527,0.01139332],"genre_scores_gemma":[0.99107,0.0005592934,0.00004592173,0.002321832,0.0002465539,0.0000857047,0.001251093,0.00001642853,0.004403142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1363591,"threshold_uncertainty_score":0.2711308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321579116664017,"score_gpt":0.3898302208249271,"score_spread":0.3576723091585254,"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."}}