{"id":"W4240610652","doi":"10.37405/1729-7206.2020.2(39).89-94","title":"Experience of Domestic Enterprises in the Conditions of Quarantine Restrictions: Social and Labor Aspects","year":2020,"lang":"en","type":"article","venue":"Herald of the Economic Sciences of Ukraine","topic":"Labor Market and Education","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Unemployment; Labour economics; Economics; Dismissal; Labor relations; Quarter (Canadian coin); Flexibility (engineering); Quarantine; Business; Demographic economics; Economic growth; Political science; Macroeconomics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004357215,0.0000561717,0.0002331271,0.00009158352,0.00006391299,0.00001021974,0.0003629148,0.00002319777,0.0001380313],"category_scores_gemma":[0.0002137141,0.0000427698,0.00005295065,0.0003554621,0.0004889577,0.0001495573,0.00003312163,0.00004300317,0.000001438369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001634383,"about_ca_system_score_gemma":0.00006134682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007148904,"about_ca_topic_score_gemma":0.00007989958,"domain_scores_codex":[0.9992024,0.00002525326,0.0005077681,0.0001442527,0.00003198644,0.00008837099],"domain_scores_gemma":[0.9990634,0.000147622,0.0006332117,0.0001214438,0.00001917976,0.00001513334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004615081,0.0001377258,0.7186268,0.0001111678,0.00002757868,1.854405e-7,0.0329816,0.0008038362,0.0009719194,0.245305,0.0008637605,0.0001242908],"study_design_scores_gemma":[0.0004841134,0.0001393632,0.9760354,0.00003443459,0.000007594885,0.000001441838,0.002940325,0.001625302,0.0009963693,0.01708825,0.0005578422,0.00008958307],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904359,0.0005801605,0.000005247185,0.006479963,0.0001590382,0.0001175435,0.000090716,0.000002035874,0.002129392],"genre_scores_gemma":[0.9994577,0.0002345228,0.00009460363,0.0001429345,0.00004570571,0.000007116344,9.805506e-7,0.000002487975,0.00001400508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2574086,"threshold_uncertainty_score":0.1801585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04847894544109807,"score_gpt":0.2880164035687519,"score_spread":0.2395374581276538,"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."}}