{"id":"W1570452348","doi":"10.4101/jvwr.v2i2.707","title":"Development of Virtual Patient Simulations for Medical Education","year":2009,"lang":"en","type":"article","venue":"Journal of Virtual Worlds Research","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Virtual patient; Perspective (graphical); Instructional simulation; Medical diagnosis; Conversation; Metaverse; Fidelity; Virtual reality; Computer science; Virtual world; Virtual machine; Principal (computer security); Human–computer interaction; Medical education; Multimedia; Psychology; Medicine; Artificial intelligence","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":[0.002050183,0.0005679893,0.0003206221,0.0005269573,0.0003503818,0.001536642,0.001480944,0.001016212,0.005418033],"category_scores_gemma":[0.008458091,0.0004602554,0.0006157641,0.0002800956,0.000480474,0.0008893573,0.001866451,0.001080524,0.001035611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004878975,"about_ca_system_score_gemma":0.001397192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005398137,"about_ca_topic_score_gemma":0.0006148859,"domain_scores_codex":[0.9985873,0.0008661032,0.00008333996,0.00005359834,0.0003650756,0.00004466418],"domain_scores_gemma":[0.9969587,0.001779612,0.0001021465,0.0003721537,0.000530061,0.0002573178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005402283,0.0008227049,0.005251118,0.0009644867,0.0001574754,0.000789497,0.002090099,0.3719764,0.02614194,0.1100184,0.01924312,0.4620045],"study_design_scores_gemma":[0.000429064,0.001223877,0.002138871,0.0007342478,0.0001155387,0.002323564,0.0004724431,0.5690593,0.04227631,0.04248735,0.338524,0.0002155784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02685574,0.0006924342,0.9470125,0.001112674,0.0003214646,0.001145229,0.0003497381,0.001516134,0.02099416],"genre_scores_gemma":[0.1837557,0.001095747,0.8088301,0.0002456736,0.00005004369,0.001252923,0.0006419382,0.000204075,0.003923738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005418033,"threshold_uncertainty_score":0.01812512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06902581549803818,"score_gpt":0.4314993517541319,"score_spread":0.3624735362560937,"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."}}