{"id":"W4248050988","doi":"10.21916/mlr.2021.15","title":"Teleworking and lost work during the pandemic: new evidence from the CPS","year":2021,"lang":"en","type":"article","venue":"Monthly labor review","topic":"Work-Family Balance Challenges","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Quarter (Canadian coin); Unemployment; Work (physics); Coronavirus disease 2019 (COVID-19); Demographic economics; Population; Telecommuting; Temporary work; Business; Demography; Economic growth; Geography; Economics; Sociology; Engineering; Medicine","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":[0.004067129,0.0003099818,0.0004429804,0.002872685,0.0009334032,0.001587786,0.001025662,0.0009101865,0.004651236],"category_scores_gemma":[0.02561889,0.00039816,0.0009372481,0.004303397,0.0006514756,0.001796011,0.001880598,0.0015907,0.0004353086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008759926,"about_ca_system_score_gemma":0.00147688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04986657,"about_ca_topic_score_gemma":0.04679311,"domain_scores_codex":[0.9973476,0.0009268406,0.0002979137,0.0003498858,0.000657912,0.0004197028],"domain_scores_gemma":[0.9808642,0.006946605,0.006799222,0.0009907113,0.003005923,0.00139327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001590715,0.000120572,0.9493597,0.0005557874,0.000343191,0.0001594792,0.002130554,0.0001256292,0.00003195924,0.0004205719,0.006695651,0.03989781],"study_design_scores_gemma":[0.000007348346,0.00004524864,0.9934243,0.0004357211,0.00005466613,0.00006582603,0.002631998,0.0000504722,0.000009413352,0.00009646776,0.003171095,0.000007488449],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344735,0.03062062,0.0005192194,0.01193125,0.0005986941,0.0000971466,0.007301137,0.00001630771,0.01444214],"genre_scores_gemma":[0.9770378,0.01784976,0.0001957164,0.001133422,0.0005011796,0.0000628234,0.002662387,0.00001363026,0.0005433404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04986657,"threshold_uncertainty_score":0.09915262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05605553581990132,"score_gpt":0.3182839845913072,"score_spread":0.2622284487714059,"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."}}