{"id":"W3198683217","doi":"10.1108/lodj-01-2021-0016","title":"Linking emotional intelligence to turnover intention: LMX and affective organizational commitment as serial mediators","year":2021,"lang":"en","type":"article","venue":"Leadership & Organization Development Journal","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Sainte-Anne","funders":"","keywords":"Psychology; Organizational commitment; Social psychology; Turnover intention; Mediation; Emotional intelligence; Originality; Turnover; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005266711,0.0002602726,0.0002174814,0.0002591879,0.0005878943,0.0002721649,0.0002570548,0.0001854823,0.01934507],"category_scores_gemma":[0.0004599362,0.0002671136,0.00004069268,0.001282598,0.0000816091,0.0003627647,0.0001307018,0.000468047,0.001819008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049652,"about_ca_system_score_gemma":0.0006050633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002923745,"about_ca_topic_score_gemma":0.00002892176,"domain_scores_codex":[0.9976809,0.0001884768,0.0006202033,0.0004306041,0.0006818798,0.0003979045],"domain_scores_gemma":[0.99779,0.0001448299,0.0002122014,0.0001496264,0.001395772,0.000307523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002299199,0.0009592021,0.7580245,0.0001478685,0.0009407655,0.0003225489,0.08416254,0.001177042,0.002321074,0.1012014,0.008695541,0.04181754],"study_design_scores_gemma":[0.00159656,0.0004585565,0.7692389,0.001125413,0.000134045,0.007715714,0.04667191,0.00009291562,0.1311166,0.01149956,0.02837391,0.001975939],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7546228,0.0005567019,0.224899,0.01159323,0.005834211,0.0003984133,0.000009520244,0.0001295069,0.001956659],"genre_scores_gemma":[0.9848602,0.00007418761,0.006246294,0.004309502,0.001026904,0.000008888102,0.0002311912,0.00005643168,0.003186428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2302374,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06034665498035321,"score_gpt":0.3087047667145752,"score_spread":0.248358111734222,"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."}}