{"id":"W4294876973","doi":"10.1186/s12887-022-03555-0","title":"Escalation of care in children at high risk of clinical deterioration in a tertiary care children’s hospital using the Bedside Pediatric Early Warning System","year":2022,"lang":"en","type":"article","venue":"BMC Pediatrics","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Ministero della Salute; Ospedale Pediatrico Bambino Gesù","keywords":"Medicine; Early warning score; Logistic regression; Emergency medicine; Pediatric intensive care unit; Pediatrics; Cohort; Observational study; Internal medicine","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":[0.001037757,0.0002725345,0.000458698,0.0009212536,0.0006198788,0.0007411081,0.0004852479,0.0003385594,0.001086307],"category_scores_gemma":[0.004189909,0.0002704835,0.0005306577,0.001692016,0.0004133951,0.0006065377,0.0009931439,0.0008672749,0.00009781851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815656,"about_ca_system_score_gemma":0.001815246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009868658,"about_ca_topic_score_gemma":0.0145001,"domain_scores_codex":[0.9984578,0.0003448115,0.0002028727,0.0002574092,0.0003116268,0.0004255447],"domain_scores_gemma":[0.9957093,0.0004424838,0.003000086,0.0001265987,0.0002431427,0.000478484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005129268,0.00002029032,0.9990809,0.000008918204,0.00001041724,0.00012284,0.0001192951,0.0000219493,0.00003879652,0.0000111385,0.00005484795,0.0004592321],"study_design_scores_gemma":[0.000004987258,0.0001199256,0.9986864,0.00001215203,0.000009217475,0.0003726808,0.0005436293,0.0001145027,0.00004292867,0.000009809772,0.00007992857,0.000003903494],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996598,0.00007235383,0.00002516776,0.000028606,0.000002563457,0.000008620888,0.000125243,0.000001291688,0.00007643006],"genre_scores_gemma":[0.9994994,0.00009181599,0.0001052624,0.00002257069,0.000007434319,0.00001349341,0.0002331128,0.000001168391,0.00002570483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009868658,"threshold_uncertainty_score":0.01962245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02264226891239612,"score_gpt":0.3030759019909719,"score_spread":0.2804336330785758,"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."}}