{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002083622,0.0002776042,0.0004060028,0.0007063813,0.00184528,0.0003328855,0.0001857625,0.0002421956,0.0001137141],"category_scores_gemma":[0.004940429,0.0002731033,0.00005901642,0.0008341493,0.0008587031,0.0004953928,0.00003176117,0.000686131,0.000008201621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00276394,"about_ca_system_score_gemma":0.003571885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002008266,"about_ca_topic_score_gemma":0.00004979719,"domain_scores_codex":[0.9959609,0.000671967,0.0005947584,0.0008029846,0.001242068,0.0007273245],"domain_scores_gemma":[0.9896811,0.002983402,0.0003127664,0.0005594771,0.006030586,0.0004327044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004691471,0.001646533,0.9453748,0.0001044922,0.00007204917,2.31368e-7,0.01973072,0.01080803,0.000852205,0.0004115915,0.0001812135,0.02034901],"study_design_scores_gemma":[0.001536925,0.0008230885,0.6370974,0.003233696,0.0001068503,0.000005832177,0.01328192,0.3424914,0.0001725313,0.0008901327,0.00008356094,0.0002767245],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845474,0.00007098704,0.01043993,0.001001269,0.0007152279,0.002462354,0.00001390203,0.0001489292,0.0006000046],"genre_scores_gemma":[0.9941679,0.00000327628,0.00392337,0.00009603104,0.0004930797,0.00009044701,0.0001764612,0.0000679822,0.0009814756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3316833,"threshold_uncertainty_score":0.9999721,"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."}}