{"id":"W3136283791","doi":"10.5430/jnep.v11n7p10","title":"Developing virtual simulation games for presimulation preparation: A user-friendly approach for nurse educators","year":2021,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University; Trent University; Queen's University; University of Ottawa","funders":"","keywords":"Rubric; Scripting language; Computer science; Nurse educator; Process (computing); Point (geometry); Multimedia; Nursing; Nurse education; Medicine; Psychology; Mathematics education","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004850314,0.00136153,0.0003723692,0.0008384147,0.0005952442,0.002089969,0.002056049,0.0007412953,0.008779337],"category_scores_gemma":[0.01626582,0.0005682121,0.000552361,0.0002084257,0.0006813493,0.001308396,0.003291412,0.0009829768,0.001489177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007373657,"about_ca_system_score_gemma":0.001574527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000646135,"about_ca_topic_score_gemma":0.003016707,"domain_scores_codex":[0.996727,0.002463953,0.0001397954,0.0001598127,0.0003656338,0.0001437744],"domain_scores_gemma":[0.9925888,0.004591559,0.0003651232,0.0007704796,0.0007739841,0.000910096],"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":[0.001625015,0.005212237,0.0278965,0.003246899,0.0001872838,0.001872125,0.03255231,0.02130542,0.08462036,0.0126631,0.02449102,0.7843277],"study_design_scores_gemma":[0.001886218,0.01363051,0.04339508,0.003562648,0.0005393973,0.004924255,0.02629952,0.1214922,0.1140627,0.03169218,0.6377762,0.0007391245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3155539,0.000359527,0.6282094,0.001824644,0.0002656239,0.007000045,0.0004355263,0.007944605,0.03840664],"genre_scores_gemma":[0.2694718,0.0002723849,0.7205364,0.000286187,0.00003131068,0.002611326,0.0002447949,0.0004052632,0.006140419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008779337,"threshold_uncertainty_score":0.02936983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276205581384363,"score_gpt":0.5125319599036793,"score_spread":0.384911401765243,"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."}}