{"id":"W4399119614","doi":"10.1109/vrw62533.2024.00193","title":"Developing a Multimodal Clinical Nursing Simulation with a Virtual Preceptor in AR","year":2024,"lang":"en","type":"article","venue":"","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Preceptor; Mentorship; Modalities; Nursing; Virtual patient; Nurse education; Patient care; Virtual reality; Medical education; Medicine; Computer science; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004876583,0.0006759988,0.0002969276,0.0002044287,0.0002816404,0.0009432408,0.0009301609,0.001025435,0.005810118],"category_scores_gemma":[0.001182815,0.0002689096,0.0005953778,0.00008574132,0.0003670905,0.0005229742,0.001185266,0.0005586873,0.0008192776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002775436,"about_ca_system_score_gemma":0.0009388394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001182105,"about_ca_topic_score_gemma":0.001288352,"domain_scores_codex":[0.9996864,0.0001300854,0.00002570758,0.00005323144,0.00006511599,0.00003949598],"domain_scores_gemma":[0.9995999,0.0002183578,0.00002499759,0.00004330804,0.00004786116,0.00006556122],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001321579,0.001622782,0.00622601,0.0009436727,0.0001339032,0.00219966,0.003459957,0.6023934,0.1578084,0.01310349,0.005956786,0.2048303],"study_design_scores_gemma":[0.0003639807,0.002306302,0.002735678,0.0001726605,0.00009704623,0.00148975,0.0004846341,0.8957149,0.04962878,0.003117195,0.04373639,0.0001528188],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1721456,0.0003248694,0.8052357,0.0005644451,0.0002211027,0.0013168,0.0003361673,0.003591736,0.01626344],"genre_scores_gemma":[0.5734289,0.0003805154,0.4166068,0.000222163,0.00003938984,0.000986296,0.0003426633,0.0001382556,0.007855027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005810118,"threshold_uncertainty_score":0.01943678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0923319556164388,"score_gpt":0.491849227376086,"score_spread":0.3995172717596472,"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."}}