{"id":"W2761282944","doi":"10.1097/pcc.0000000000001291","title":"Predicting Risk of Bleeding in Critically Ill Children*","year":2017,"lang":"en","type":"letter","venue":"Pediatric Critical Care Medicine","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Medicine; Critically ill; Severe bleeding; Critical illness; Intensive care medicine; Pediatrics; Surgery","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007276076,0.0002418474,0.0004115174,0.0007406111,0.0007091718,0.000805677,0.0003919007,0.00248652,0.001603081],"category_scores_gemma":[0.01020971,0.0001792534,0.0002534534,0.0005238216,0.000441139,0.0006117451,0.0002736233,0.004149644,0.0007231985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195331,"about_ca_system_score_gemma":0.00120096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006187672,"about_ca_topic_score_gemma":0.008748394,"domain_scores_codex":[0.9993498,0.0002511207,0.0001224514,0.00006815771,0.0001181871,0.00009030764],"domain_scores_gemma":[0.9967644,0.001821669,0.0003148759,0.00006269097,0.0005950757,0.0004412714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003358931,0.0001648576,0.4978827,0.0001832673,0.00007767502,0.05862533,0.0007562408,0.0006251005,0.0009335286,0.001859863,0.3473814,0.09117416],"study_design_scores_gemma":[0.0004226522,0.0008009374,0.521096,0.003766776,0.0003329861,0.2388594,0.005469748,0.01206642,0.002436246,0.02051343,0.194013,0.0002226019],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1318884,0.01404858,0.0008160845,0.8205305,0.007128919,0.00007144409,0.0004033947,0.0000599744,0.0250526],"genre_scores_gemma":[0.7877975,0.01905276,0.002776538,0.1502001,0.03444635,0.0001056683,0.000424752,0.0000419224,0.005154439],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.006187672,"threshold_uncertainty_score":0.01230329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04555233006467994,"score_gpt":0.3579091023163851,"score_spread":0.3123567722517052,"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."}}