{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009118928,0.00009406668,0.0001817975,0.0001932325,0.0003482806,0.0000594992,0.00002317767,0.00005912414,0.00003458914],"category_scores_gemma":[0.002273731,0.00008114859,0.00002726244,0.0002032513,0.00004884878,0.000582661,0.000003252727,0.0002338292,9.719641e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637133,"about_ca_system_score_gemma":0.001066267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002574886,"about_ca_topic_score_gemma":0.000002040157,"domain_scores_codex":[0.9988328,0.0002864156,0.0004068358,0.0001230138,0.0002386933,0.0001122205],"domain_scores_gemma":[0.994243,0.002986779,0.0007987905,0.000145216,0.001622689,0.0002035648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"case_report","study_design_scores_codex":[0.004711383,0.004820314,0.1148071,0.0006910423,0.0002661478,0.0001162851,0.2190559,0.04072036,0.001060616,0.003360431,0.001338978,0.6090515],"study_design_scores_gemma":[0.006797877,0.003459841,0.08102133,0.008941835,0.002851004,0.3491884,0.2973824,0.1999357,0.0004305277,0.001143759,0.04813958,0.0007078621],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690892,0.0005848839,0.01866647,0.008114525,0.0006879714,0.0002255942,5.321273e-7,0.00001509851,0.00261569],"genre_scores_gemma":[0.9609153,0.000006528106,0.03646981,0.001767698,0.0007391071,0.000001600119,0.000003988364,0.00001854478,0.0000773818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6083436,"threshold_uncertainty_score":0.3309143,"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."}}