{"id":"W3133971763","doi":"10.2139/ssrn.3634715","title":"The Heterogeneous Labor Market Impacts of the Covid-19 Pandemic","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Business; Economics; Virology; Medicine; Outbreak; Internal medicine; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00326502,0.0001920865,0.0003418541,0.00007199582,0.0004357064,0.00008747783,0.0009500104,0.0001096653,0.0001631127],"category_scores_gemma":[0.003441997,0.0001305847,0.0002765996,0.0004351688,0.000133163,0.0001324978,0.0001332382,0.001503562,0.00006294102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676526,"about_ca_system_score_gemma":0.002623911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002555783,"about_ca_topic_score_gemma":0.000847274,"domain_scores_codex":[0.9969797,0.0001130257,0.0007330779,0.0002625993,0.0001129823,0.001798685],"domain_scores_gemma":[0.9980829,0.0003767436,0.0007963454,0.0003843271,0.00004144695,0.0003182098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004697136,0.00006662457,0.8360874,0.00006673779,0.0007141964,0.000008036502,0.001934969,0.0009995146,0.0003835893,0.1465205,0.008931027,0.003817757],"study_design_scores_gemma":[0.003015461,0.0006344242,0.01900725,0.00002005183,0.00005571415,0.001263244,0.0007475802,0.001785266,0.0001425566,0.5413982,0.4313547,0.0005755225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8877851,0.0394749,0.00432319,0.06536104,0.0007218962,0.0005085978,0.0001412277,0.00006814409,0.001615947],"genre_scores_gemma":[0.9787506,0.01120628,0.000007924203,0.009104406,0.0002599863,0.000004325163,8.327561e-7,0.00003199324,0.0006336114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8170801,"threshold_uncertainty_score":0.6532313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469397357526267,"score_gpt":0.2619101917659298,"score_spread":0.2272162181906671,"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."}}