{"id":"W2888237889","doi":"10.1080/1359432x.2018.1509848","title":"Beyond individual justice facets: How (Mis)alignment between justice climates affects customer satisfaction through frontline customer extra-role service behavior","year":2018,"lang":"en","type":"article","venue":"European Journal of Work and Organizational Psychology","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Customer satisfaction; Economic Justice; Procedural justice; Psychology; Organizational justice; Distributive justice; Moderation; Interactional justice; Service (business); Business; Multilevel model; Social psychology; Marketing; Political science; Organizational commitment; Law; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001117051,0.0003237581,0.0003936106,0.0002834981,0.0004985003,0.0003220188,0.0004050898,0.0001150391,0.0009507557],"category_scores_gemma":[0.000116871,0.0002952469,0.00006835382,0.001045794,0.000158166,0.001150788,0.0001616419,0.000416258,0.0008274388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003300074,"about_ca_system_score_gemma":0.000028117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001451539,"about_ca_topic_score_gemma":0.00002634621,"domain_scores_codex":[0.9978877,0.00021985,0.0006019453,0.0003823838,0.0005179448,0.0003901472],"domain_scores_gemma":[0.9979643,0.0001239031,0.0008334587,0.0002299677,0.0007741983,0.00007415178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000754694,0.0008496977,0.8093854,0.0008028421,0.0007470008,0.000209531,0.005392644,0.0001102131,0.003399853,0.009820593,0.1490164,0.01951109],"study_design_scores_gemma":[0.002275792,0.0001378057,0.8735303,0.0001012867,0.002163526,0.00009085074,0.002123159,0.000009407297,0.00008644193,0.0003846648,0.1186106,0.0004861914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679104,0.0005160031,0.002954082,0.01222512,0.002616526,0.0002801851,0.00003448741,0.00009367258,0.01336952],"genre_scores_gemma":[0.9787058,0.00006555232,0.001250694,0.01290966,0.006776261,0.00000178478,0.00009772433,0.00008279358,0.00010973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06414483,"threshold_uncertainty_score":0.9999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575794529128867,"score_gpt":0.2874643354291388,"score_spread":0.2517063901378501,"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."}}