{"id":"W3017566776","doi":"10.5539/ijms.v12n2p62","title":"The Relationship Between Salesmen’s Emotional Intelligence and Sales Skills in In-Person Sales (Case Study: Salesmen of Commercial Complexes in the Third Municipality District of Bandar Abbas City)","year":2020,"lang":"en","type":"article","venue":"International Journal of Marketing Studies","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emotional intelligence; Psychology; Descriptive statistics; Test (biology); Variables; Data collection; Population; Marketing; Social psychology; Statistics; Business; Mathematics; Sociology; Demography","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":[],"consensus_categories":[],"category_scores_codex":[0.005924928,0.0001625544,0.0004187653,0.0002687906,0.0001229487,0.00002737658,0.0006185799,0.00005802005,0.00001513807],"category_scores_gemma":[0.00343858,0.0001104981,0.00009826785,0.0003813301,0.0004689923,0.0001578871,0.000127258,0.0005789757,0.000001555338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008628591,"about_ca_system_score_gemma":0.0000549153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003873033,"about_ca_topic_score_gemma":0.00253852,"domain_scores_codex":[0.9962773,0.001497158,0.001271435,0.0001822739,0.0005932274,0.0001786509],"domain_scores_gemma":[0.9841996,0.01454798,0.0007208302,0.0001262579,0.0003721334,0.00003321937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005769314,0.0003056219,0.9615663,0.00003650915,0.0002308129,0.0001735526,0.03218208,0.0002650283,0.000003079206,0.001845788,0.0001606265,0.002653629],"study_design_scores_gemma":[0.0004936995,0.000215921,0.9289709,0.0003838453,0.00002583709,0.0001015367,0.06890295,0.00005057989,0.00001111146,0.0007032393,0.00005497907,0.00008544174],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936783,0.0017247,0.00008786411,0.003662635,0.0002414392,0.0002085866,0.00005075885,0.000003247771,0.0003424933],"genre_scores_gemma":[0.9989866,0.0005707275,0.0001120657,0.0000978738,0.0001938193,0.000008858574,0.000006820593,0.000007491803,0.00001574014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03672086,"threshold_uncertainty_score":0.4505981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2248715960016428,"score_gpt":0.4330755615897937,"score_spread":0.2082039655881509,"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."}}