{"id":"W1777261856","doi":"10.5539/ass.v11n15p267","title":"Emotional Intelligence: Its Relations To Communication and Information Technology Skills","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotional intelligence; Psychology; Scale (ratio); Measure (data warehouse); Communication skills; Intelligence quotient; The Emotional Intelligence Appraisal; Applied psychology; Social psychology; Knowledge management; Mathematics education; Computer science; Medical education; Cognition; Data mining","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":[0.0006324928,0.0000697871,0.00007078175,0.0003207371,0.0004977247,0.00006466299,0.0003848852,0.0001011233,0.000257816],"category_scores_gemma":[0.0002355455,0.00007103098,0.00001462972,0.00150722,0.0004907314,0.001324588,0.0001153711,0.0001590629,0.00236918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009936666,"about_ca_system_score_gemma":0.0001326757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001965479,"about_ca_topic_score_gemma":0.000008290194,"domain_scores_codex":[0.9991018,0.00003041189,0.0002078098,0.0001493755,0.0002924899,0.000218102],"domain_scores_gemma":[0.9992242,0.00002676145,0.00007531121,0.000164047,0.0003848991,0.0001247379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000004868351,0.00002955386,0.001980592,0.000001141578,0.000002864262,1.943126e-7,0.01333879,0.000007390037,0.00002381419,0.7743244,0.001889385,0.208397],"study_design_scores_gemma":[0.0002841467,0.0003183988,0.6784536,0.00006076048,0.00001414709,0.00006940589,0.03701301,0.0003010982,0.001105939,0.1494542,0.1323812,0.0005440409],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08894364,0.0001120509,0.01403425,0.02010168,0.0005520787,0.0003384649,0.00001707935,0.0001161206,0.8757846],"genre_scores_gemma":[0.9967829,0.00001089769,0.001592313,0.0006276654,0.00006219208,0.00002552464,0.00001028005,0.000002938791,0.0008853192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9078392,"threshold_uncertainty_score":0.9984076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739475103459417,"score_gpt":0.3716276182354048,"score_spread":0.3342328672008106,"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."}}