{"id":"W1986533544","doi":"10.7202/1024177ar","title":"Emotional Intelligence and Translation Studies: A New Bridge","year":2014,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotional intelligence; Interpreter; Psychology; Value (mathematics); Cognition; Trait; Relevance (law); Translation studies; Cognitive psychology; Profiling (computer programming); Cognitive science; Social psychology; Linguistics; Computer science; Political science","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":[0.0008193307,0.0001777629,0.0002852395,0.0001422009,0.0002364721,0.00006535929,0.0001761895,0.00006290988,0.001183505],"category_scores_gemma":[0.00009598968,0.0001387222,0.0001602327,0.0002086071,0.0002197802,0.0003475672,0.000009763345,0.000316042,0.0001874609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000233332,"about_ca_system_score_gemma":0.00002828688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002711129,"about_ca_topic_score_gemma":0.00002349211,"domain_scores_codex":[0.9986511,0.0001973771,0.0004025517,0.0002356351,0.0002415239,0.0002717798],"domain_scores_gemma":[0.9991439,0.0002681692,0.000123307,0.0001409422,0.0001305929,0.0001930971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005860739,0.00006941104,0.001933551,0.0000266993,0.0009456678,0.000009541153,0.002890429,0.0002373476,0.0001236511,0.0318777,0.002534083,0.9592933],"study_design_scores_gemma":[0.0007901671,0.001233273,0.2351202,0.0002088279,0.001328122,0.005659218,0.0006795205,0.0008203585,0.001120409,0.5090148,0.2432106,0.0008145035],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3476363,0.1677152,0.4773094,0.002923671,0.002169552,0.0001720048,0.000007352829,0.00005490324,0.00201164],"genre_scores_gemma":[0.9425191,0.04373968,0.007725038,0.0008962526,0.001604593,0.000008799902,0.000006186481,0.00003488442,0.003465406],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9584788,"threshold_uncertainty_score":0.9997296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2373120707974629,"score_gpt":0.393068277277788,"score_spread":0.1557562064803251,"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."}}