{"id":"W3167245641","doi":"10.1016/j.ecns.2021.04.016","title":"Using Self-debrief After a Virtual Simulation: The Process","year":2021,"lang":"en","type":"article","venue":"Clinical Simulation in Nursing","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; Centennial College","funders":"","keywords":"Debriefing; Process (computing); Instructional simulation; Relevance (law); Computer science; Craft; Psychology; Medical education; Knowledge management; Engineering ethics; Human–computer interaction; Engineering; Virtual reality; Medicine; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04991145,0.001417805,0.0009418125,0.001614856,0.004611844,0.004437286,0.002591128,0.002062527,0.01151336],"category_scores_gemma":[0.14248,0.0008145125,0.0008639835,0.0007668878,0.002697054,0.003549058,0.007281536,0.004024202,0.003027652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002992238,"about_ca_system_score_gemma":0.0103257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001828992,"about_ca_topic_score_gemma":0.003578739,"domain_scores_codex":[0.9645143,0.02883325,0.001448965,0.001114044,0.003264999,0.000824547],"domain_scores_gemma":[0.8770338,0.08276246,0.005630761,0.01084581,0.01552088,0.008206331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.002213427,0.006331009,0.01577982,0.001472615,0.0001256008,0.0007938945,0.1871107,0.004641735,0.02442602,0.03283142,0.02540364,0.6988701],"study_design_scores_gemma":[0.001178308,0.008976348,0.07234841,0.004811991,0.0004181059,0.006475667,0.3199791,0.05360043,0.08618534,0.104698,0.3394462,0.001882025],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4285568,0.001048784,0.466583,0.01021405,0.001617868,0.01812487,0.0004138549,0.003608787,0.06983205],"genre_scores_gemma":[0.6822944,0.000974901,0.2845884,0.001045986,0.0003102169,0.006109034,0.0004606283,0.0005398846,0.0236766],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04991145,"threshold_uncertainty_score":0.2639602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174858028322639,"score_gpt":0.5337167311667267,"score_spread":0.4162309283344628,"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."}}