{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001812701,0.0001562555,0.0001473779,0.0008799185,0.0004720388,0.001460115,0.0002038714,0.0002918352,0.001958738],"category_scores_gemma":[0.01039085,0.00007491213,0.0001544117,0.0006970051,0.0005083496,0.0004355045,0.0008433612,0.0007592635,0.0002763555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004354529,"about_ca_system_score_gemma":0.0004757881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001619969,"about_ca_topic_score_gemma":0.002129645,"domain_scores_codex":[0.9989139,0.0003114738,0.0001108428,0.00007320248,0.0003613648,0.0002292226],"domain_scores_gemma":[0.9919221,0.002790169,0.002248275,0.0002870407,0.001070603,0.001681898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002197879,0.0002380277,0.9817951,0.00002023677,0.00002044899,0.00007741819,0.001714665,0.0001526728,0.0002258875,0.0002567383,0.0001659101,0.01531079],"study_design_scores_gemma":[0.000001246139,0.00007314839,0.995361,0.00001920258,0.000008647956,0.00006646392,0.003352946,0.0002336506,0.0002045939,0.0001405393,0.0005335229,0.000005005377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971889,0.00007117729,0.00009059197,0.0001200746,0.000005039854,0.000003438544,0.00001164689,0.000002252935,0.002506905],"genre_scores_gemma":[0.999645,0.0000472205,0.00004638856,0.000009178843,0.000003227413,0.000001366524,0.00001282652,4.912671e-7,0.0002342636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001958738,"threshold_uncertainty_score":0.009586573,"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."}}