{"id":"W4403721412","doi":"10.2139/ssrn.4958111","title":"Investigating the Use of Voluntary Furloughs to Reduce Labor Costs: The Effect on Employee Effort","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Turnover; Business; Labour economics; Operations management; Economics; Management","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":[0.00285049,0.0003770686,0.0005176014,0.0005093274,0.0007668874,0.000839542,0.0009755396,0.001360228,0.007190298],"category_scores_gemma":[0.01716428,0.0002536178,0.000942408,0.0005053752,0.0007475843,0.0006344728,0.0007150535,0.001076799,0.0005496282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001333659,"about_ca_system_score_gemma":0.002475091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01256998,"about_ca_topic_score_gemma":0.01709483,"domain_scores_codex":[0.9981632,0.001044706,0.00008403948,0.0001679707,0.0002092123,0.0003309412],"domain_scores_gemma":[0.9819411,0.01250219,0.002808499,0.00078047,0.0006168665,0.001350794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1688168,0.1230512,0.3140859,0.002724632,0.002410076,0.0004752035,0.007526044,0.0038025,0.01203471,0.004091505,0.002246397,0.3587351],"study_design_scores_gemma":[0.005341624,0.1216041,0.8529391,0.0004157723,0.001584638,0.00008452808,0.006801785,0.002006871,0.003849019,0.001417756,0.00387786,0.00007703001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983124,0.0002029569,0.0000636086,0.0002043196,0.00002226359,0.00006086889,0.00008127312,0.00000450402,0.001047843],"genre_scores_gemma":[0.9981169,0.0001497328,0.0002293761,0.00009102701,0.00001674003,0.00006550355,0.00004625844,0.000003920072,0.001280573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01256998,"threshold_uncertainty_score":0.0249936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926683338491342,"score_gpt":0.3827788780504205,"score_spread":0.333512044665507,"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."}}