{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001671826,0.0002646183,0.000490204,0.0008296809,0.0008141692,0.002682662,0.0004559525,0.002394303,0.01524116],"category_scores_gemma":[0.007340377,0.0002054527,0.0003812808,0.0009744796,0.001129827,0.002202151,0.001646003,0.002620574,0.0005805278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823009,"about_ca_system_score_gemma":0.0009709367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642407,"about_ca_topic_score_gemma":0.01474842,"domain_scores_codex":[0.9991859,0.0002888902,0.00001966907,0.00006844549,0.000116888,0.000320351],"domain_scores_gemma":[0.9970769,0.00152774,0.0005397286,0.000122531,0.0002175109,0.0005156205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001809663,0.001325769,0.1875925,0.000376469,0.0003242953,0.003939669,0.001984933,0.09046921,0.002120985,0.5373819,0.08260403,0.09007052],"study_design_scores_gemma":[0.0002868691,0.0006463265,0.333844,0.0003787008,0.0001980249,0.000456861,0.01228761,0.07933316,0.0006785343,0.5202499,0.05146274,0.0001773132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7758489,0.005056341,0.003148474,0.07421231,0.000867746,0.0001107599,0.002848096,0.00004260006,0.1378648],"genre_scores_gemma":[0.9931889,0.001131123,0.00009155687,0.001292823,0.0003754666,0.0000133427,0.0001711072,0.000007230651,0.003728609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01642407,"threshold_uncertainty_score":0.05098683,"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."}}