{"id":"W4414831525","doi":"10.1097/01.eem.0000000000000094","title":"Practicing the Unpredictable with In Situ Simulation","year":2025,"lang":"en","type":"article","venue":"Emergency Medicine News","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Event (particle physics); Work (physics); Troubleshooting; In situ","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004077387,0.001099877,0.0004058631,0.0007874779,0.001241556,0.003057052,0.002838945,0.002173709,0.01729445],"category_scores_gemma":[0.01785001,0.0004255027,0.0009482296,0.0003747195,0.002293033,0.00296208,0.006730292,0.003142966,0.005736091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008401281,"about_ca_system_score_gemma":0.002529116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007096731,"about_ca_topic_score_gemma":0.001677199,"domain_scores_codex":[0.9972793,0.001287771,0.0001502546,0.0002830151,0.0007988119,0.0002007819],"domain_scores_gemma":[0.992103,0.003923908,0.0006216742,0.0009837747,0.0009146555,0.001453021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006163224,0.003767051,0.0238925,0.002773308,0.0001584491,0.003310048,0.0217184,0.0373381,0.01660244,0.05271561,0.1275274,0.7095804],"study_design_scores_gemma":[0.0001860887,0.002154633,0.007139376,0.003689071,0.0001163382,0.008667842,0.00741727,0.03699601,0.01322077,0.1302859,0.7898581,0.0002685848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07868861,0.004790703,0.7058123,0.02619489,0.004160144,0.001456493,0.0003620545,0.004804915,0.1737299],"genre_scores_gemma":[0.4115566,0.01072767,0.5249481,0.01153915,0.001523985,0.001603361,0.0006440104,0.0008990707,0.03655809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01729445,"threshold_uncertainty_score":0.05785573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0519626208221983,"score_gpt":0.4229754709710454,"score_spread":0.3710128501488471,"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."}}