{"id":"W4205800678","doi":"10.1186/s12912-021-00740-x","title":"Virtual patient simulation to improve nurses’ relational skills in a continuing education context: a convergent mixed methods study","year":2022,"lang":"en","type":"article","venue":"BMC Nursing","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval; Université de Montréal; The Quebec Population Health Research Network; Centre Hospitalier de l’Université de Montréal; Centre de Santé et de Services Sociaux Cavendish","funders":"Canadian Institutes of Health Research; Ministère de l'Éducation et de l'Enseignement supérieur; Max-Planck-Gesellschaft; Réseau de recherche portant sur les interventions en sciences infirmières du Québec","keywords":"Snowball sampling; Simulated patient; Thematic analysis; Context (archaeology); Medicine; Descriptive statistics; Nursing; Interview; Medical education; Test (biology); Qualitative property; Focus group; Qualitative research; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.03541167,0.000754318,0.0009323717,0.001500798,0.003262955,0.002207873,0.001708447,0.0008627669,0.002513354],"category_scores_gemma":[0.02765263,0.0004588919,0.0008271426,0.001426309,0.001617499,0.001261031,0.002488698,0.0007823567,0.0002404958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005987963,"about_ca_system_score_gemma":0.01425462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154397,"about_ca_topic_score_gemma":0.02696824,"domain_scores_codex":[0.9835105,0.01225432,0.0009731887,0.0008536443,0.001653378,0.0007548754],"domain_scores_gemma":[0.9691539,0.02081105,0.002078008,0.001508577,0.005548281,0.0009001858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00256697,0.03025628,0.1333396,0.00592691,0.0004211033,0.00124323,0.4883809,0.002140905,0.007410687,0.003491489,0.001408467,0.3234134],"study_design_scores_gemma":[0.002831006,0.05673385,0.2614478,0.007002389,0.001262871,0.0008773528,0.6113861,0.01170308,0.01542594,0.003107977,0.0277968,0.0004249167],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863256,0.0002738891,0.004066678,0.0001598721,0.00002256902,0.00747507,0.0001229285,0.00001229114,0.001541278],"genre_scores_gemma":[0.946604,0.0008732145,0.02972342,0.0004871605,0.00003928721,0.02084232,0.0001898361,0.00001753725,0.001223247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03541167,"threshold_uncertainty_score":0.1872771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0283778038899982,"score_gpt":0.4240624064127581,"score_spread":0.3956846025227599,"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."}}