{"id":"W3007553229","doi":"10.36834/cmej.67884","title":"Does Emotional Intelligence at medical school admission predict future licensing examination performance?","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Medical Education and Admissions","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Network for Innovation in Education; University of Ottawa","funders":"University of Ottawa","keywords":"Licensure; Emotional intelligence; Psychology; Test (biology); Medical school; Variance (accounting); Clinical psychology; Correlation; Medicine; Medical education; Developmental psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029634,0.0001888149,0.0002277684,0.001051122,0.0004428359,0.001367599,0.0004510395,0.0005775206,0.003865917],"category_scores_gemma":[0.009710316,0.0001335124,0.0003375867,0.0008658271,0.0006728817,0.0005207525,0.0008778981,0.0009381339,0.0005400034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008519588,"about_ca_system_score_gemma":0.0009662468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02323246,"about_ca_topic_score_gemma":0.03286434,"domain_scores_codex":[0.9994677,0.0001143621,0.00005945925,0.00006352274,0.0001442512,0.0001507271],"domain_scores_gemma":[0.9934599,0.0009584833,0.002553417,0.0001927443,0.0005885108,0.002246889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001392565,0.00002241327,0.9987335,0.000002031219,0.000007086352,0.000008748509,0.00003243272,0.00002109111,0.00001264018,0.00001289377,0.00006080405,0.001072419],"study_design_scores_gemma":[9.627591e-7,0.00002616453,0.999645,0.000004242192,0.000004034423,0.00001553702,0.0001030532,0.00009852407,0.00001659807,0.00001489106,0.00006961157,0.000001363392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985749,0.00009995179,0.00003150577,0.0002441975,0.000007124852,0.000003657197,0.0001042467,0.000002927697,0.0009316292],"genre_scores_gemma":[0.9995888,0.00004330446,0.00002174922,0.00002342365,0.000007520416,0.000001838974,0.000115794,7.873053e-7,0.000196836],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02323246,"threshold_uncertainty_score":0.04619449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681891431879875,"score_gpt":0.3023673378019564,"score_spread":0.2855484234831577,"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."}}