{"id":"W4399626674","doi":"10.4300/jgme-d-23-00526.1","title":"Exploring the Use of Natural Language Processing to Understand Emotions of Trainees and Faculty Regarding Entrustable Professional Activity Assessments","year":2024,"lang":"en","type":"article","venue":"Journal of Graduate Medical Education","topic":"Student Assessment and Feedback","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Medical education; Psychology; Natural (archaeology); Medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003428182,0.0002970449,0.0001837686,0.00179763,0.0004722004,0.002093054,0.0003451071,0.0004213706,0.001881025],"category_scores_gemma":[0.02920965,0.0001410732,0.000384549,0.0009350824,0.0006938758,0.002319952,0.0008592432,0.0006663339,0.0004886828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008102843,"about_ca_system_score_gemma":0.0005585619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001423052,"about_ca_topic_score_gemma":0.001869616,"domain_scores_codex":[0.997816,0.001386756,0.000172631,0.0002667305,0.0002535395,0.0001044086],"domain_scores_gemma":[0.969705,0.02469198,0.003124643,0.0004184459,0.001788059,0.0002718715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001009139,0.0006811775,0.3462792,0.001936411,0.0001657922,0.0008591462,0.1568624,0.003089978,0.04616297,0.003207785,0.004472516,0.4352734],"study_design_scores_gemma":[0.00007009578,0.0006925252,0.7992543,0.0007263857,0.0001640999,0.0008178385,0.1054219,0.04361001,0.01360747,0.01659956,0.01884772,0.0001880894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9532927,0.000293876,0.03762402,0.001030572,0.00003340397,0.0003513376,0.001137317,0.0001857344,0.006050984],"genre_scores_gemma":[0.9697826,0.0002256948,0.02777672,0.0003499639,0.00003523457,0.0004282718,0.0007180375,0.00003950069,0.0006439394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003428182,"threshold_uncertainty_score":0.01813012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3044004809950062,"score_gpt":0.4778755130845097,"score_spread":0.1734750320895034,"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."}}