{"id":"W4404041705","doi":"10.1097/01.pcc.0001085004.05282.39","title":"PP124 Topic: AS13–Hematology/Oncology/Stem Cell Transplant/Immunology: ARE EXISTING MORTALITY PREDICTION MODELS SUITABLE FOR PEDIATRIC HEMATOLOGY/ONCOLOGY PATIENTS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT DUE TO SEPSIS?","year":2024,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Hematology; Sepsis; Internal medicine; Pediatric oncology; Intensive care medicine; Oncology; Intensive care unit; Cancer","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":[0.003916428,0.0006127803,0.0008308926,0.0009690259,0.0002303883,0.00273369,0.0006966654,0.0008760619,0.00705865],"category_scores_gemma":[0.01102325,0.0001624787,0.0008020243,0.001227832,0.0003112781,0.0007685353,0.0007216684,0.0008324879,0.001816123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005045853,"about_ca_system_score_gemma":0.001376797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167582,"about_ca_topic_score_gemma":0.002225617,"domain_scores_codex":[0.9986934,0.0006963586,0.0001246916,0.000192635,0.0001874149,0.0001056252],"domain_scores_gemma":[0.9943044,0.00281701,0.001074035,0.0001446319,0.001185374,0.0004744949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007677252,0.0003775175,0.8597496,0.0004602046,0.000415897,0.0001216591,0.00008269407,0.003184139,0.0005074774,0.0002950822,0.02550935,0.1085286],"study_design_scores_gemma":[0.0002355022,0.001507492,0.8821081,0.001364831,0.0007315097,0.0009150309,0.0009255258,0.08481202,0.001252705,0.002337487,0.02373335,0.00007649983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93191,0.01728835,0.01460487,0.01464878,0.001950608,0.0004130471,0.01000194,0.0003087915,0.008873599],"genre_scores_gemma":[0.9592871,0.007429413,0.01190301,0.001359388,0.002886972,0.000356803,0.01283995,0.00009590601,0.003841428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00705865,"threshold_uncertainty_score":0.02361351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07061640900605488,"score_gpt":0.3637459236905054,"score_spread":0.2931295146844505,"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."}}