{"id":"W4394935742","doi":"10.1016/j.chb.2024.108268","title":"Nonverbal behaviors perceived as most empathic in a simulated medical context","year":2024,"lang":"en","type":"article","venue":"Computers in Human Behavior","topic":"Empathy and Medical Education","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Capitale-Nationale; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre for Interdisciplinary Research in Rehabilitation; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Empathy; Sadness; Psychology; Nonverbal communication; Context (archaeology); Gaze; Perception; Personal distress; Facial expression; Social psychology; Developmental psychology; Anger; Communication","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":[0.0006157732,0.000258852,0.0001647777,0.0001842829,0.0002463209,0.0006296017,0.0001408282,0.0004680318,0.003283607],"category_scores_gemma":[0.008348409,0.00008966112,0.0001949542,0.00005800326,0.0003514473,0.0003558679,0.0006033737,0.0003427611,0.0002367361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846055,"about_ca_system_score_gemma":0.0001640598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003263085,"about_ca_topic_score_gemma":0.0004829303,"domain_scores_codex":[0.9991985,0.0004997154,0.00004043353,0.00008902934,0.000116378,0.00005601767],"domain_scores_gemma":[0.9979334,0.001046832,0.0005631731,0.0001306928,0.0001467881,0.0001791298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.007609448,0.003214858,0.2711072,0.002048121,0.0004778497,0.002204358,0.0884162,0.004063969,0.4660266,0.001895447,0.003953549,0.1489824],"study_design_scores_gemma":[0.0004863655,0.01679944,0.8753108,0.0003964205,0.0003963396,0.003426867,0.04807945,0.009406098,0.03304289,0.001742854,0.01066906,0.0002432471],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977788,0.00004798657,0.0007801576,0.00004978216,0.000009892885,0.00003574353,0.00003565389,0.00001328377,0.001248731],"genre_scores_gemma":[0.9985458,0.00006348093,0.0009071624,0.00005733793,0.000007317379,0.00005980567,0.00003675497,0.000003183055,0.0003192477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003283607,"threshold_uncertainty_score":0.01098478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488718078135748,"score_gpt":0.36026072055386,"score_spread":0.3353735397725025,"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."}}