{"id":"W2952317181","doi":"10.3138/jvme.0518-065r","title":"Cross-Sectional Assessment of the Emotional Intelligence of Fourth-Year Veterinary Students and Veterinary House Officers in a Teaching Hospital","year":2019,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Veterinary Practice and Education Studies","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Optimism; Observational study; Medicine; Emotional intelligence; Cross-sectional study; Teamwork; Demographics; Coping (psychology); Psychology; Clinical psychology; Veterinary medicine; Family medicine; Demography; Social psychology; Internal medicine","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":[0.003004104,0.0001787916,0.0004221188,0.0002762794,0.000233935,0.00001761381,0.000500545,0.0001892605,0.0006393681],"category_scores_gemma":[0.001285556,0.0001378468,0.0001389369,0.0002170276,0.0002170638,0.0005718353,0.0004407641,0.001251793,0.00001059152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002973793,"about_ca_system_score_gemma":0.002425546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008218527,"about_ca_topic_score_gemma":0.000001774021,"domain_scores_codex":[0.9958969,0.0009803625,0.001467366,0.0002344165,0.001159615,0.0002613595],"domain_scores_gemma":[0.9968404,0.000876175,0.001419476,0.0002790736,0.0004136436,0.000171233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006042852,0.001611865,0.9872622,0.0005699149,0.00008940689,0.00001283579,0.00479864,0.00003428828,0.001576824,0.0002088889,0.0002774945,0.002953331],"study_design_scores_gemma":[0.0008594312,0.004066999,0.9807224,0.001227838,0.0000209158,0.0004800278,0.008988083,0.00007212818,0.000004370259,0.00008669894,0.003351957,0.0001191323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924523,0.000184476,0.0000879334,0.001263515,0.00507779,0.0004276095,0.000006012461,0.000008440781,0.0004919129],"genre_scores_gemma":[0.9973007,0.0003378037,0.001488525,0.0002448488,0.0003694027,0.00002683626,0.000003104581,0.00002366869,0.0002051073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006539808,"threshold_uncertainty_score":0.7000632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2410780169490906,"score_gpt":0.5611877032172754,"score_spread":0.3201096862681848,"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."}}