{"id":"W4246132016","doi":"10.32920/ryerson.14652696","title":"Playing games, saving lives: a critical analysis of serious games for nursing instruction","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Interactivity; Experiential learning; Mental health; Game design; Health care; Psychology; Nursing; Pedagogy; Medical education; Computer science; Multimedia; Medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.02088522,0.001654068,0.001091694,0.006300655,0.01195643,0.01256074,0.002521883,0.003011548,0.001809823],"category_scores_gemma":[0.04179298,0.0008006804,0.0008936023,0.002938508,0.01851405,0.007948917,0.006701089,0.005806417,0.0003450906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01585668,"about_ca_system_score_gemma":0.01144494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00685084,"about_ca_topic_score_gemma":0.01177467,"domain_scores_codex":[0.9824319,0.01389573,0.0004462623,0.0006576584,0.00174268,0.0008257566],"domain_scores_gemma":[0.9555846,0.03684623,0.0009597212,0.0007509508,0.004786097,0.001072402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000712082,0.0000903836,0.001007248,0.0008766864,0.00002063629,0.0008774459,0.9019212,0.0002656339,0.0006764169,0.05060288,0.009614492,0.03397588],"study_design_scores_gemma":[0.00001422291,0.0001420727,0.002004907,0.002876816,0.00002652082,0.0006129728,0.8478243,0.0005663853,0.001073461,0.01428218,0.1305292,0.00004687097],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5892063,0.04198401,0.09383354,0.07608972,0.004889053,0.007604772,0.0005968767,0.0004771512,0.1853186],"genre_scores_gemma":[0.9167051,0.01557311,0.03879686,0.008419381,0.0004541447,0.002355561,0.0001808263,0.0004193858,0.0170956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02088522,"threshold_uncertainty_score":0.1150488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04084919453809189,"score_gpt":0.389484099721002,"score_spread":0.3486349051829101,"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."}}