{"id":"W3131344516","doi":"","title":"Labor Adjustment Costs and Asymmetric Cost Behavior: An Extension","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Economics; Credibility; Labor demand; Population; Unemployment; Proxy (statistics); Labour economics; Information asymmetry; Wage; Microeconomics","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":[0.001970453,0.0006143141,0.0006922161,0.002192088,0.0007935548,0.002595998,0.0008375635,0.00070116,0.01156787],"category_scores_gemma":[0.0205473,0.0002993231,0.001012389,0.002685955,0.001605491,0.002133025,0.002851959,0.001359277,0.0003586306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636671,"about_ca_system_score_gemma":0.00146485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009402351,"about_ca_topic_score_gemma":0.004009152,"domain_scores_codex":[0.9973469,0.0006659007,0.0002227616,0.0004474414,0.0008352672,0.0004817535],"domain_scores_gemma":[0.9655489,0.01178735,0.01613031,0.003633539,0.001719987,0.001179849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005917359,0.00122629,0.8171251,0.0003340857,0.0004125909,0.0008309387,0.003233427,0.009380708,0.001492984,0.07646245,0.001820893,0.08708889],"study_design_scores_gemma":[0.00009484497,0.0003901065,0.8813369,0.0001428915,0.0002385794,0.0006321042,0.002239969,0.02292996,0.0006951134,0.08487877,0.006340843,0.00007997342],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673525,0.000723357,0.01194345,0.001319262,0.00002867596,0.0002128192,0.0006372466,0.00003616049,0.0177466],"genre_scores_gemma":[0.9970058,0.0002130412,0.00116515,0.0001003827,0.00006617502,0.00004023697,0.0001179684,0.000006190763,0.00128502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01156787,"threshold_uncertainty_score":0.03869838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006463923481680979,"score_gpt":0.2217890667579939,"score_spread":0.2153251432763129,"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."}}