{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002037753,0.001251021,0.005880001,0.0007977752,0.0004756705,0.00006601517,0.0003254763,0.001076185,0.000323853],"category_scores_gemma":[0.001142961,0.001124957,0.0008836578,0.0007381187,0.0003440974,0.000207872,0.0003453851,0.00336405,0.0001228058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001025898,"about_ca_system_score_gemma":0.002730901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435917,"about_ca_topic_score_gemma":0.002610868,"domain_scores_codex":[0.9890289,0.004469475,0.00225048,0.00217923,0.0003264139,0.001745539],"domain_scores_gemma":[0.9921852,0.005061582,0.0007546596,0.000984104,0.0001293404,0.0008850758],"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":[0.003530007,0.003375338,0.01337746,0.1481268,0.002191229,0.005722229,0.00482348,0.0001504734,0.00002721279,0.01931258,0.02898246,0.7703808],"study_design_scores_gemma":[0.001502052,0.002158814,0.002017824,0.01673739,0.001306478,0.006975484,0.0005266826,0.00000130872,0.000006203371,0.000172209,0.9674301,0.001165478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0063656,0.9330587,0.00002573231,0.04846089,0.002770819,0.005494372,0.001374136,0.000360709,0.00208898],"genre_scores_gemma":[0.02284364,0.9657542,0.0001133432,0.008831287,0.001143072,0.0005708032,0.0004371751,0.0001952648,0.0001112245],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9384476,"threshold_uncertainty_score":0.9991201,"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."}}