{"id":"W4402567397","doi":"10.20955/wp.2024.025","title":"Mismatch Unemployment During COVID-19 and the Post-Pandemic Labor Shortages","year":2024,"lang":"en","type":"report","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Unemployment; Coronavirus disease 2019 (COVID-19); Economic shortage; Pandemic; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Economics; Labour economics; Virology; Economic growth; Biology; Medicine; Government (linguistics); Outbreak; Internal medicine","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":[0.0008136856,0.0001251906,0.000280512,0.0004083258,0.0007967136,0.0007794793,0.0003079274,0.000539421,0.002993616],"category_scores_gemma":[0.003668704,0.0001255452,0.0001590778,0.0005459624,0.0004103166,0.0005771385,0.001605156,0.0009226126,0.0003685197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009499111,"about_ca_system_score_gemma":0.0008969654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02531726,"about_ca_topic_score_gemma":0.04406403,"domain_scores_codex":[0.9995586,0.00006914778,0.00002339158,0.00004045967,0.00005087549,0.0002574881],"domain_scores_gemma":[0.9982415,0.0002775496,0.0008321967,0.00005714885,0.0001882129,0.0004032962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004635713,0.0001717699,0.9807121,0.00006229956,0.00002920301,0.0002510366,0.00315139,0.001137838,0.0006484261,0.0007818891,0.001463158,0.01112739],"study_design_scores_gemma":[0.000004257224,0.00008092506,0.9937962,0.00002052131,0.000004313014,0.00003422598,0.004679199,0.0003597651,0.00007285538,0.0001710208,0.0007722137,0.000004551828],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9979064,0.000107014,0.0000617395,0.0003541803,0.000008746641,0.0000100082,0.0004005338,0.000001370515,0.001149807],"genre_scores_gemma":[0.9989447,0.00005892013,0.0000238359,0.00006027121,0.00001359501,0.00001208676,0.0003300432,0.00000118648,0.0005553596],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02531726,"threshold_uncertainty_score":0.05033976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08964716315582225,"score_gpt":0.4529930682617035,"score_spread":0.3633459051058813,"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."}}