{"id":"W2125694700","doi":"10.5539/ass.v9n17p247","title":"Emotional Intelligence and Psychographic Profiles of the Potential First Class Students","year":2013,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychographic; Emotional intelligence; Psychology; Class (philosophy); Construct (python library); Correlation; Social psychology; Ethnic group; Developmental psychology; Advertising; Computer science; Mathematics; Artificial intelligence; Sociology","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":[0.0003302649,0.00009062623,0.0000921858,0.00007974455,0.0006093777,0.000068713,0.0007866274,0.00006608093,0.0009672599],"category_scores_gemma":[0.00002219229,0.00006547396,0.00006201107,0.0007986539,0.001890739,0.0002726496,0.0001293752,0.0001481525,0.0001568679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001727707,"about_ca_system_score_gemma":0.00004364752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001359243,"about_ca_topic_score_gemma":0.00001994388,"domain_scores_codex":[0.9986179,0.00004022182,0.0002096177,0.0002714936,0.0005889719,0.0002717607],"domain_scores_gemma":[0.9994752,0.00002278877,0.000111947,0.0001672051,0.0001592749,0.00006351947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002485801,0.0005001198,0.4509827,0.0000360019,0.00005359409,0.000001665972,0.0116336,0.000006047774,0.001843245,0.3051428,0.004402165,0.2253732],"study_design_scores_gemma":[0.00004579248,0.00003960011,0.9880532,0.0000191934,0.000004496349,0.000007043861,0.001684381,0.00002634551,0.0002823024,0.00941202,0.00034704,0.00007857109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9168441,0.00006140314,0.0004276604,0.00319422,0.001068841,0.000346716,0.000008971735,0.00001742333,0.0780307],"genre_scores_gemma":[0.9989263,0.00001878548,0.0000707253,0.0002214078,0.0001520848,0.00002599468,7.620946e-7,0.000004546795,0.0005793832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5370706,"threshold_uncertainty_score":0.999946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717170609328001,"score_gpt":0.3421917538072788,"score_spread":0.3150200477139988,"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."}}