{"id":"W3110632021","doi":"10.5267/j.msl.2020.11.008","title":"The effect of emotional intelligence on organizational commitment: Understanding the mediating role of job satisfaction","year":2020,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotional intelligence; Psychology; Organizational commitment; Structural equation modeling; Confirmatory factor analysis; Job satisfaction; Affective events theory; Social psychology; Applied psychology; Competence (human resources); Job performance; Job attitude; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008586132,0.00008933787,0.00008278726,0.00007526367,0.0004616298,0.0000353061,0.0004890906,0.00001635773,0.0001945089],"category_scores_gemma":[0.00006790672,0.00005349888,0.00003914087,0.0007914803,0.0005966082,0.0001199598,0.00008488312,0.0001175788,0.00007305531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007510671,"about_ca_system_score_gemma":0.000005371521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001714691,"about_ca_topic_score_gemma":0.000002773332,"domain_scores_codex":[0.9986324,0.00008942417,0.0002469308,0.0002063107,0.0006367431,0.0001882352],"domain_scores_gemma":[0.9991482,0.0004448226,0.000164144,0.0001883619,0.00002111194,0.00003336297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001058431,0.00001704144,0.4071224,0.00005501965,0.0001010601,0.000001848531,0.004411154,0.01644462,0.006018885,0.5490722,0.001248727,0.01540122],"study_design_scores_gemma":[0.0004656234,0.001062039,0.9068737,0.0001588047,0.00008441089,0.000005463843,0.01600448,0.02040464,0.04523533,0.00861068,0.0007308454,0.0003639756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9227083,0.00005086038,0.0409028,0.0209626,0.0008049899,0.0005886805,0.000009854783,0.00003045586,0.0139414],"genre_scores_gemma":[0.9982098,0.00001597956,0.00006926351,0.001592424,0.00007115529,0.00001086333,0.00000292957,0.000005302195,0.00002232255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5404615,"threshold_uncertainty_score":0.355053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274848357699976,"score_gpt":0.295090421171969,"score_spread":0.2623419375949692,"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."}}