{"id":"W2982449992","doi":"10.1177/1094670519883949","title":"Unpacking the Relationship Between Customer (In)Justice and Employee Turnover Outcomes: Can Fair Supervisor Treatment Reduce Employees’ Emotional Turmoil?","year":2019,"lang":"en","type":"article","venue":"Journal of Service Research","topic":"Job Satisfaction and Organizational Behavior","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Emotional exhaustion; Injustice; Psychology; Interpersonal communication; Social psychology; Organizational justice; Turnover; Employee engagement; Emotional labor; Human resource management; Organizational commitment; Burnout; Public relations; Management; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00124024,0.0001653128,0.0002694718,0.0006806601,0.0003109339,0.0003165279,0.0003085163,0.0000959908,0.000404242],"category_scores_gemma":[0.0003662818,0.0001079337,0.00007353445,0.001325607,0.00004879179,0.0009687311,0.0001381042,0.0006054153,0.0003313679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653698,"about_ca_system_score_gemma":0.0001724501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392184,"about_ca_topic_score_gemma":0.001022323,"domain_scores_codex":[0.9979067,0.0001005744,0.0004871969,0.0001991397,0.0009686965,0.0003377091],"domain_scores_gemma":[0.9975659,0.001001341,0.0001822542,0.0002096876,0.0009951124,0.00004575572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003128856,0.00006313846,0.9959591,0.0001135495,0.00003284963,0.000009222606,0.0004642044,0.0000642345,0.0001594989,0.002460161,0.0003088828,0.0003338399],"study_design_scores_gemma":[0.001132074,0.00003694872,0.993349,0.0001129866,0.00009357506,0.00001463477,0.002458626,0.00002568698,0.00001384063,0.000864313,0.001780744,0.0001175572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811144,0.00009309892,0.000004944618,0.01767448,0.0002374118,0.0002871195,0.000005853218,0.00001409984,0.0005685529],"genre_scores_gemma":[0.9979496,0.00001873844,0.00005206226,0.0007253303,0.0007050072,0.000004602809,0.00001403409,0.00003349446,0.0004971467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694915,"threshold_uncertainty_score":0.4426167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250164763833194,"score_gpt":0.3645731515655249,"score_spread":0.2395566751822055,"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."}}