{"id":"W2767884032","doi":"10.1002/hrm.21876","title":"Worse than others but better than before: Integrating social and temporal comparison perspectives to explain executive turnover via pay standing and pay growth","year":2017,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ranking (information retrieval); Disadvantage; Sample (material); Turnover; Executive compensation; Business; Pyramid (geometry); Marketing; Economics; Labour economics; Management; Finance; Corporate governance; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00299744,0.0001938365,0.0001619465,0.00167014,0.001139001,0.002470515,0.0004578911,0.0004622401,0.004996068],"category_scores_gemma":[0.007681724,0.00008441632,0.0003777877,0.001212336,0.002200525,0.00285127,0.001545948,0.0006029779,0.0002128094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385002,"about_ca_system_score_gemma":0.0008748306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006311493,"about_ca_topic_score_gemma":0.008831767,"domain_scores_codex":[0.9990196,0.0005135633,0.00003427821,0.00008148659,0.0001969627,0.0001540352],"domain_scores_gemma":[0.9935524,0.003367372,0.001869926,0.000215192,0.0004503899,0.0005446736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002298175,0.0004637615,0.8435058,0.00006961434,0.0001179283,0.0004109039,0.01467382,0.002776552,0.0003352139,0.08934091,0.001431453,0.04664422],"study_design_scores_gemma":[0.00006374118,0.0002810221,0.7970454,0.0001664623,0.0001061196,0.0004778446,0.02841825,0.0192764,0.0003046893,0.1463165,0.007499307,0.00004427991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674191,0.0006040083,0.003543556,0.002057401,0.0000380472,0.00001904292,0.0000593025,0.00001123804,0.02624822],"genre_scores_gemma":[0.9993659,0.00004343252,0.0002087871,0.00003640968,0.00001466581,0.00000446207,0.00001505618,0.000001641328,0.0003097008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006311493,"threshold_uncertainty_score":0.0167135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533206696386178,"score_gpt":0.2571178195636837,"score_spread":0.231785752599822,"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."}}