{"id":"W6944212538","doi":"10.17722/ijme.v13i3.610","title":"Emotional Intelligence of Employee Excellence - A Study of Automobile Industry","year":2019,"lang":"en","type":"article","venue":"International Journal of Management Excellence","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Emotional intelligence; Excellence; Employee engagement; Industrial relations","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001434096,0.0002172795,0.0002915143,0.0007554772,0.001207768,0.001720083,0.0002465472,0.0004975224,0.001158284],"category_scores_gemma":[0.003082999,0.0001896174,0.0002584649,0.0007461549,0.000593726,0.0006596737,0.0007703258,0.0008201657,0.0002008065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005191309,"about_ca_system_score_gemma":0.0005618139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004560329,"about_ca_topic_score_gemma":0.008024142,"domain_scores_codex":[0.9996445,0.000141711,0.00001867687,0.0000327425,0.00006434952,0.00009793283],"domain_scores_gemma":[0.9978665,0.0006670843,0.0005219256,0.0001057333,0.000228026,0.0006107069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002514808,0.002027939,0.9674576,0.00002524931,0.00007389455,0.0002343384,0.02083107,0.00008898282,0.001481076,0.0003372074,0.0001508659,0.007040269],"study_design_scores_gemma":[0.000007616752,0.0002636902,0.9845063,0.000005160563,0.0000136161,0.00008573006,0.01441236,0.000113326,0.0001379858,0.00007242324,0.0003767054,0.000005030435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996672,0.00001706118,0.000008137514,0.00001344679,9.255844e-7,0.000001671758,0.000002740317,1.965087e-7,0.000288644],"genre_scores_gemma":[0.9997056,0.00002441252,0.00001664705,0.00001728144,0.000002595654,0.000002250487,0.00001028905,4.33291e-7,0.0002205049],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004560329,"threshold_uncertainty_score":0.009067535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03355416727107113,"score_gpt":0.3556116572223617,"score_spread":0.3220574899512905,"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."}}