{"id":"W3139427354","doi":"10.1007/978-3-030-59608-8_12","title":"Engaging Learners in Presimulation Preparation Through Virtual Simulation Games","year":2021,"lang":"en","type":"book-chapter","venue":"Intelligent systems reference library","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Nipissing University; Trent University; University of Ottawa; Queen's University","funders":"","keywords":"Rubric; Instructional simulation; Nurse educator; Computer science; Nurse education; Medical education; Virtual reality; Medicine; Mathematics education; Psychology; 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":[0.0003472494,0.00112824,0.000301779,0.0003418353,0.0003262572,0.002104285,0.001149999,0.0008226438,0.01806355],"category_scores_gemma":[0.001277358,0.0001945364,0.0002978463,0.0002099191,0.0003198982,0.001626215,0.002076599,0.00118173,0.004892467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003005668,"about_ca_system_score_gemma":0.000477314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002350065,"about_ca_topic_score_gemma":0.0006867645,"domain_scores_codex":[0.9998333,0.00005433283,0.000005885375,0.00002270604,0.00005389505,0.00002988504],"domain_scores_gemma":[0.9996932,0.0001711816,0.00001680889,0.00001877375,0.00003477254,0.0000653187],"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":[0.0004006276,0.002019768,0.001495556,0.0007641676,0.00003044112,0.0007211634,0.007874458,0.01556088,0.03286038,0.07998265,0.04746581,0.810824],"study_design_scores_gemma":[0.0001234155,0.001528952,0.003470047,0.001242019,0.00007117609,0.002058348,0.007300585,0.05278884,0.06123579,0.09495098,0.775117,0.0001127991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1542525,0.004138146,0.3286025,0.001783132,0.0007880759,0.0004240107,0.0001866997,0.0025918,0.5072332],"genre_scores_gemma":[0.3584233,0.006083413,0.1393337,0.0007197813,0.0001566677,0.000473358,0.0004874403,0.0005741874,0.4937481],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01806355,"threshold_uncertainty_score":0.06042856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1092535011199577,"score_gpt":0.3681229303231319,"score_spread":0.2588694292031742,"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."}}