{"id":"W4311598087","doi":"10.3390/bs12120511","title":"The Relationship between Emotional Intelligence and Educators’ Performance in Higher Education Sector","year":2022,"lang":"en","type":"article","venue":"Behavioral Sciences","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Emotional intelligence; Respondent; Psychology; Structural equation modeling; Scale (ratio); Test (biology); Medical education; Mathematics education; Applied psychology; Social psychology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007591802,0.00008456438,0.00006729212,0.0001260266,0.001203657,0.00005840264,0.0003544182,0.00003269655,0.002398164],"category_scores_gemma":[0.00001158908,0.00006574244,0.00002231406,0.0006954204,0.0003620568,0.0002313913,0.0000795622,0.0002731399,0.00008242761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007814444,"about_ca_system_score_gemma":0.0001841597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002561711,"about_ca_topic_score_gemma":0.00004251995,"domain_scores_codex":[0.9988481,0.0001170596,0.0002261924,0.0002599788,0.000310158,0.0002384732],"domain_scores_gemma":[0.9994372,0.0002836049,0.00007627952,0.0001276225,0.00002466615,0.00005066128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005063971,0.00008543723,0.9309271,0.000001725967,7.393281e-7,2.234654e-7,0.0006734914,0.00003761698,0.000001842945,0.05094697,0.0002981147,0.01702167],"study_design_scores_gemma":[0.00002277208,0.0001594097,0.9866211,0.00000923341,0.000003587015,0.000009752364,0.001950852,0.0000143947,0.00001026779,0.003884747,0.007220441,0.00009337549],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910215,0.0005351939,0.000004081422,0.0017021,0.001639971,0.0001402415,0.000007271138,0.0000149504,0.004934662],"genre_scores_gemma":[0.9927559,0.0000140824,0.00005729593,0.0001122277,0.0001833616,0.0001332409,0.000009658753,0.000004586025,0.006729571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05569407,"threshold_uncertainty_score":0.9985138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3279012724161899,"score_gpt":0.439018521753704,"score_spread":0.111117249337514,"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."}}