{"id":"W4200306756","doi":"10.1177/15480518211066074","title":"Unbalanced, Unfair, Unhappy, or Unable? Theoretical Integration of Multiple Processes Underlying the Leader Mistreatment-Employee CWB Relationship with Meta-Analytic Methods","year":2021,"lang":"en","type":"article","venue":"Journal of Leadership & Organizational Studies","topic":"Workplace Violence and Bullying","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo; Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada; National Natural Science Foundation of China","keywords":"Perspective (graphical); Psychology; Social psychology; Affect (linguistics); Organizational justice; Context (archaeology); Procedural justice; Stressor; Mechanism (biology); Explanatory power; Deviance (statistics); Power (physics); Organizational commitment; Epistemology; Perception","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08470181,0.00218849,0.006454851,0.01253923,0.001016876,0.006557024,0.004089351,0.001807316,0.003155266],"category_scores_gemma":[0.2133956,0.001465139,0.02678619,0.01230058,0.002016946,0.004850742,0.002883071,0.002969091,0.0002979692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0037323,"about_ca_system_score_gemma":0.006726655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005362942,"about_ca_topic_score_gemma":0.009176995,"domain_scores_codex":[0.9430213,0.04044957,0.008222816,0.003750864,0.003993745,0.0005617104],"domain_scores_gemma":[0.7720098,0.2050924,0.01066169,0.007934344,0.003777839,0.0005239715],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0007754168,0.00009597797,0.03102789,0.2533128,0.6263456,0.0003527753,0.002568936,0.002397306,0.000464401,0.01218271,0.0024494,0.06802684],"study_design_scores_gemma":[0.0004994948,0.0003590728,0.01143248,0.08535242,0.8570251,0.0002422943,0.001356962,0.0043156,0.0008398464,0.02675238,0.01170597,0.0001184052],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01578792,0.9269629,0.04560703,0.005113748,0.0006974576,0.002051556,0.001132322,0.0002317815,0.002415295],"genre_scores_gemma":[0.5520033,0.3297522,0.1004082,0.004602117,0.0005794521,0.01018324,0.00161306,0.0001696296,0.0006887157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9152982,"threshold_uncertainty_score":0.4479514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4093781038177334,"score_gpt":0.4471104491294229,"score_spread":0.03773234531168951,"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."}}