{"id":"W4293178657","doi":"10.1017/ash.2022.53","title":"Bring it on: Top five antimicrobial stewardship challenges in transplant infectious diseases and practical strategies to address them","year":2022,"lang":"en","type":"review","venue":"Antimicrobial Stewardship & Healthcare Epidemiology","topic":"Neutropenia and Cancer Infections","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Intensive care medicine; Medicine; Antimicrobial stewardship; Transplantation; Antibiotic resistance; Hematopoietic stem cell transplantation; Antimicrobial; Drug resistance; Neutropenia; Immunology; Antibiotics; Internal medicine; Biology; Chemotherapy","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":[0.002077895,0.0007481912,0.001161682,0.002645427,0.0004541207,0.001975155,0.0008146961,0.001509244,0.003536664],"category_scores_gemma":[0.005167645,0.0002609312,0.001100009,0.002346676,0.0003629087,0.002123202,0.001096459,0.001842813,0.001023414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137668,"about_ca_system_score_gemma":0.003899708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002137463,"about_ca_topic_score_gemma":0.005147011,"domain_scores_codex":[0.9989015,0.0002922001,0.0002314166,0.00009261297,0.0003849417,0.00009729314],"domain_scores_gemma":[0.9973513,0.00125915,0.0004221462,0.00003981485,0.0007617903,0.0001658623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004963291,0.0000489344,0.0006380383,0.03602345,0.0001923671,0.0001205702,0.0001439236,0.0002214804,0.0002881948,0.002812543,0.05065101,0.9088099],"study_design_scores_gemma":[0.00003269834,0.0001387392,0.003117489,0.07192455,0.0005569162,0.00133951,0.0004895967,0.0002754455,0.0003279795,0.003226807,0.9185199,0.00005046482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001485104,0.9961396,0.0001383831,0.002423663,0.0004768514,0.00001022744,0.00002331886,0.00001316933,0.0006263067],"genre_scores_gemma":[0.00129044,0.9965435,0.0004577845,0.001037603,0.0003433035,0.00001145466,0.00003795011,0.000002778406,0.0002752011],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003536664,"threshold_uncertainty_score":0.01183134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2365512371551554,"score_gpt":0.4369225578775138,"score_spread":0.2003713207223583,"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."}}