{"id":"W2597690539","doi":"10.1016/j.resuscitation.2017.03.031","title":"Regular in-situ simulation training of paediatric Medical Emergency Team leads to sustained improvements in hospital response to deteriorating patients, improved outcomes in intensive care and financial savings","year":2017,"lang":"en","type":"article","venue":"Resuscitation","topic":"Simulation-Based Education in Healthcare","field":"Medicine","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Hospital for Sick Children","keywords":"Medicine; Rapid response team; Emergency medicine; Teamwork; Intensive care; Emergency department; Medical emergency; Intensive care medicine; Nursing","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0008576548,0.0001639923,0.0003632029,0.0008410742,0.0001032043,0.00002096567,0.0001149653,0.0001736309,0.000005406765],"category_scores_gemma":[0.03056899,0.0001742294,0.00004027971,0.0004564009,0.00003374344,0.0002550015,0.0000683512,0.0002023771,0.000001129016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006068495,"about_ca_system_score_gemma":0.0005814442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005872632,"about_ca_topic_score_gemma":0.001207954,"domain_scores_codex":[0.9978033,0.0001477271,0.0009015524,0.0003907488,0.0004532693,0.0003033998],"domain_scores_gemma":[0.9973533,0.0004201174,0.0003435135,0.0003099088,0.001385408,0.0001877512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001147366,0.00007047387,0.9106899,0.0002017126,0.00000268005,0.000004618103,0.06803337,0.0005115063,0.002522717,0.000005415706,0.000008811265,0.01680142],"study_design_scores_gemma":[0.003249716,0.001031601,0.9670652,0.0003577453,0.000009323403,1.050927e-7,0.0250156,0.002886906,0.0001825026,0.00005001973,0.000003776484,0.0001474902],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949649,0.00003263644,0.00009257619,0.002627776,0.000484445,0.001760831,0.000009707679,0.0000136129,0.00001349723],"genre_scores_gemma":[0.9986529,0.00000368066,0.0008194497,0.0002542453,0.00007625506,0.0001078104,0.00005298624,0.00002186903,0.00001085668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0563753,"threshold_uncertainty_score":0.9775969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728733755253046,"score_gpt":0.3459000162334096,"score_spread":0.3286126786808791,"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."}}