{"id":"W2133927466","doi":"10.5539/ies.v6n6p72","title":"The Score Difference of Emotional Intelligence among Engineering Students at Different Levels of Academic Year","year":2013,"lang":"en","type":"article","venue":"International Education Studies","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Kebangsaan Malaysia","keywords":"Emotional intelligence; Excellence; Psychology; Academic achievement; Mathematics education; Academic year; Test (biology); Medical education; Significant difference; Medicine; Social psychology; Mathematics; Statistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001463815,0.0001321774,0.0001653379,0.0001142652,0.0000867606,0.00001496427,0.0005653553,0.00005842477,0.0009730274],"category_scores_gemma":[0.0002869391,0.00009327208,0.00007237469,0.0001138147,0.0002420076,0.0001206559,0.0001760685,0.0001730779,0.0001714321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001058722,"about_ca_system_score_gemma":0.00002990651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007250025,"about_ca_topic_score_gemma":0.00001428697,"domain_scores_codex":[0.9986306,0.0000318604,0.0005187324,0.0001849765,0.0004847972,0.0001490134],"domain_scores_gemma":[0.9978999,0.000452445,0.0002754455,0.0001831251,0.001149943,0.00003911735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001897372,0.0002164929,0.9483026,0.00003658928,0.0004246441,1.132344e-7,0.003286817,0.0002023312,0.0008930733,0.03213149,0.002253969,0.01223297],"study_design_scores_gemma":[0.00005372952,0.00002830507,0.9909739,0.0001882523,0.00001028254,0.000002686729,0.002305708,0.0001422021,0.002970189,0.002935978,0.0003031472,0.00008561509],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926082,0.001296251,0.0004973443,0.0004695605,0.003969965,0.0001845451,0.00002077022,0.00001253815,0.0009408057],"genre_scores_gemma":[0.9886192,0.0006841391,0.00007292486,0.00005369851,0.0001807662,0.0001339344,0.000009297765,0.000009041973,0.01023701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04267136,"threshold_uncertainty_score":0.9999402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1229991375821901,"score_gpt":0.4314806324726211,"score_spread":0.308481494890431,"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."}}