{"id":"W3013931925","doi":"10.1542/hpeds.2019-0260","title":"Anticipating Pediatric Patient Transfers From Intermediate to Intensive Care","year":2020,"lang":"en","type":"article","venue":"Hospital Pediatrics","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Medicine; Pediatric intensive care unit; Multivariate analysis; Demographics; Early warning score; Univariate analysis; Emergency medicine; Intensive care unit; Pediatrics; Intensive care medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002514434,0.0003026335,0.0004593573,0.0001326401,0.00006882818,0.00004043488,0.0001197098,0.0001141685,0.00009512056],"category_scores_gemma":[0.0006261469,0.0002657766,0.000238415,0.0005716209,0.00002127902,0.00007938395,0.00009618672,0.0002465111,0.0003432625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001261199,"about_ca_system_score_gemma":0.00009628944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000808888,"about_ca_topic_score_gemma":0.000005477082,"domain_scores_codex":[0.9981098,0.00002500324,0.0004403111,0.0005707368,0.0004496699,0.0004045325],"domain_scores_gemma":[0.9982331,0.000144756,0.00009270885,0.0002403783,0.0005756644,0.0007134018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001115307,0.0002102572,0.9409019,0.000136655,0.00005992806,0.000378903,0.03735361,0.00002356398,0.00002736599,0.000007731942,0.006444619,0.01434391],"study_design_scores_gemma":[0.004652106,0.01494601,0.9307289,0.00007759209,0.002304126,0.00000391101,0.04215761,0.0001819744,0.002145408,0.00002436541,0.001797979,0.000980066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914633,0.001787297,0.0001330532,0.0044463,0.0007113594,0.0008865299,0.0001797935,0.0001421957,0.0002501813],"genre_scores_gemma":[0.9873064,0.0005623968,0.0006310964,0.009676196,0.001507107,0.00008212144,0.0001749611,0.00005664352,0.000003148439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01473575,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04626466950380923,"score_gpt":0.2954703562141612,"score_spread":0.249205686710352,"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."}}