{"id":"W2126537640","doi":"10.5430/jnep.v5n1p129","title":"Creating context with prebriefing: A case example using simulation","year":2014,"lang":"en","type":"article","venue":"Journal of Nursing Education and Practice","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Debriefing; Bachelor; Context (archaeology); Narrative; Nurse education; Transformational leadership; Instructional simulation; Psychology; Medical education; Computer science; Mathematics education; Medicine; Educational technology; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005300241,0.001496273,0.0007112856,0.001830378,0.007735839,0.003823289,0.003141538,0.007909874,0.003916217],"category_scores_gemma":[0.01290291,0.0007381858,0.001562706,0.00143802,0.005440269,0.003781778,0.005463662,0.005644568,0.00106551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358321,"about_ca_system_score_gemma":0.002756711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004240047,"about_ca_topic_score_gemma":0.01245683,"domain_scores_codex":[0.9899063,0.007651142,0.0003280769,0.0003093729,0.0008295784,0.0009755916],"domain_scores_gemma":[0.9919136,0.005720094,0.0004263461,0.0003682724,0.0003065126,0.001265134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004132498,0.001780333,0.01334751,0.001874376,0.00008164297,0.4019326,0.416359,0.008820832,0.004590078,0.04440739,0.01456909,0.09182394],"study_design_scores_gemma":[0.0001517683,0.001323409,0.006635325,0.002986708,0.0001007867,0.3252098,0.3324157,0.01058226,0.009120685,0.02429361,0.2868735,0.000306501],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7686403,0.007383071,0.09507031,0.02973664,0.001374219,0.002309221,0.0002697768,0.0004776167,0.09473876],"genre_scores_gemma":[0.9287919,0.004662289,0.04945831,0.002632198,0.0002209026,0.0006509857,0.0001053079,0.0001120228,0.01336612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007909874,"threshold_uncertainty_score":0.02803069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.205829099801833,"score_gpt":0.4973128506516842,"score_spread":0.2914837508498512,"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."}}