{"id":"W2771043116","doi":"","title":"Feasibility and Learning Outcomes Associated With Preparing Nursing Students for Simulation Using Virtual Gaming Simulations","year":2018,"lang":"en","type":"article","venue":"Nursing Education Research Conference 2018 (NERC18)","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Instructional simulation; Computer science; Medical education; Simulation training; Psychology; Nursing; Simulation; Virtual reality; Medicine; 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":[0.006108585,0.00055591,0.0005412917,0.00119992,0.0005907785,0.001936706,0.0009093514,0.0008660132,0.004098335],"category_scores_gemma":[0.04567021,0.0003635693,0.00108485,0.0005258046,0.0006051778,0.001252521,0.001458504,0.001343435,0.0009393857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008733427,"about_ca_system_score_gemma":0.002158795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002935856,"about_ca_topic_score_gemma":0.003184034,"domain_scores_codex":[0.9966323,0.001135819,0.0003703587,0.0003265924,0.0009224661,0.0006125997],"domain_scores_gemma":[0.970339,0.0116102,0.004641325,0.001092706,0.005429313,0.006887478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03836204,0.06872991,0.7038648,0.0005265489,0.0004920388,0.0004391617,0.00551322,0.00454947,0.0114589,0.0005194372,0.001357786,0.1641868],"study_design_scores_gemma":[0.0007150031,0.09491824,0.8731607,0.0001874263,0.0005253084,0.0003306915,0.005468181,0.008070537,0.01395285,0.0006479743,0.001830659,0.0001925499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988267,0.00002856897,0.0001751182,0.00004444816,0.00001837711,0.0001291872,0.00005912819,0.000008693017,0.0007098456],"genre_scores_gemma":[0.9981621,0.00005324438,0.0005049573,0.00002363118,0.00001077271,0.000158203,0.0001528265,0.000006028326,0.000928209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006108585,"threshold_uncertainty_score":0.03230566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2756482717586849,"score_gpt":0.5675623964829698,"score_spread":0.2919141247242849,"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."}}