{"id":"W2121553438","doi":"10.1146/annurev-orgpsych-031413-091233","title":"Emotional Intelligence in Organizations","year":2014,"lang":"en","type":"article","venue":"Annual Review of Organizational Psychology and Organizational Behavior","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":367,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Emotional intelligence; Psychology; Generalization; Moderation; Set (abstract data type); Context (archaeology); Listing (finance); Order (exchange); Social psychology; Epistemology; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005781942,0.0002543281,0.0003957677,0.0002937807,0.0001356899,0.00001075152,0.000353656,0.0002113892,0.01757222],"category_scores_gemma":[0.0008654858,0.0002552955,0.00004382928,0.002397937,0.0003016839,0.0002343688,0.00008199846,0.000256571,0.0006384359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002727897,"about_ca_system_score_gemma":0.0001224612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001288814,"about_ca_topic_score_gemma":0.000007709697,"domain_scores_codex":[0.9976669,0.0002110624,0.0009327766,0.0005309327,0.0003783357,0.0002800128],"domain_scores_gemma":[0.9976403,0.0002580415,0.0002650956,0.0003172918,0.001400862,0.0001184353],"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":[0.00001838895,0.000827603,0.4552323,0.0004089356,0.0000382248,0.000006641953,0.0006159463,0.00002140876,0.0002231638,0.5323322,0.00403684,0.006238373],"study_design_scores_gemma":[0.0003704991,0.000189026,0.9829734,0.0009106097,0.00007556184,0.0002789748,0.0001521217,0.00003372494,0.0002362667,0.007691541,0.006679417,0.00040885],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4625075,0.1209319,0.2393352,0.0381967,0.009232282,0.006653844,0.002422557,0.0008381529,0.1198819],"genre_scores_gemma":[0.97565,0.01182297,0.002030512,0.008174438,0.0002705941,0.00004749745,0.001000639,0.00006864907,0.0009347253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5277411,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0201971578804994,"score_gpt":0.3711768235496438,"score_spread":0.3509796656691444,"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."}}