{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004777168,0.0002281497,0.0001681094,0.0009816245,0.0002164675,0.0006805781,0.0001612864,0.0002600746,0.003223918],"category_scores_gemma":[0.001781159,0.00007186383,0.0002781535,0.0005552089,0.0002173276,0.0003657429,0.0005513087,0.0004186422,0.0006836682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001519224,"about_ca_system_score_gemma":0.0001641983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000709093,"about_ca_topic_score_gemma":0.00101496,"domain_scores_codex":[0.9996551,0.00004718533,0.00004258638,0.00004070874,0.0001086915,0.0001057826],"domain_scores_gemma":[0.9984531,0.0002731224,0.0004464858,0.0000781332,0.0002328621,0.00051636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009076868,0.0001329602,0.9882389,0.000009965031,0.00002865426,0.00003662944,0.0003496649,0.00004654711,0.0008053817,0.00005464405,0.0001155733,0.01009034],"study_design_scores_gemma":[9.627539e-7,0.0001553628,0.999024,0.000002185672,0.000005421732,0.00005113422,0.0002880803,0.00004797764,0.0002290366,0.00002323579,0.0001703863,0.000002088685],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99865,0.00005344041,0.00005785565,0.00001601802,0.000005311926,0.000002354385,0.00005177603,0.00000214173,0.00116109],"genre_scores_gemma":[0.9991028,0.00003284774,0.00003188254,0.000007167503,0.000004088545,0.000002846317,0.0000784295,7.770836e-7,0.0007392264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003223918,"threshold_uncertainty_score":0.0107851,"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."}}