{"id":"W4221011217","doi":"10.1002/jac5.1622","title":"Global resilience and new strategies needed for antimicrobial stewardship during the COVID‐19 pandemic and beyond","year":2022,"lang":"en","type":"article","venue":"JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sinai Health System; University Health Network; Public Health Ontario","funders":"","keywords":"Pandemic; Antimicrobial stewardship; Resilience (materials science); Context (archaeology); Stewardship (theology); Coronavirus disease 2019 (COVID-19); Political science; Business; Psychological resilience; Public relations; Environmental resource management; Economic growth; Medicine; Geography; Infectious disease (medical specialty); Psychology; Disease; Biology; Antibiotic resistance; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001300974,0.0001347552,0.000573141,0.00003810412,0.0005678062,0.00001596198,0.0006016783,0.00003533878,0.00005848009],"category_scores_gemma":[0.0005570645,0.00007888136,0.0002405519,0.0002661585,0.00138933,0.00009531382,0.0003192413,0.0005038751,4.244149e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004229224,"about_ca_system_score_gemma":0.0008895826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001604462,"about_ca_topic_score_gemma":0.00003476988,"domain_scores_codex":[0.9979528,0.0006870955,0.0008463286,0.0001878965,0.00009617333,0.0002297426],"domain_scores_gemma":[0.9970859,0.001207458,0.001359526,0.0001862413,0.00007289036,0.00008800365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03399185,0.0006943852,0.5460515,0.0002592129,0.001760685,0.00007670936,0.0009416364,0.0007840389,0.1042333,0.001642949,0.3005706,0.008993085],"study_design_scores_gemma":[0.04984241,0.004828016,0.3893037,0.0002095164,0.001860835,0.0124294,0.04365508,0.0000831054,0.008423604,0.01000242,0.4782102,0.001151706],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853135,0.004076848,0.0001474958,0.009209231,0.0006920203,0.0002579307,0.0002303037,0.000007192463,0.00006544824],"genre_scores_gemma":[0.9939507,0.001318272,0.0001599486,0.003715865,0.0001282078,0.000001134277,7.004699e-7,0.000008353881,0.0007168716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1776396,"threshold_uncertainty_score":0.5119043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05733342214391537,"score_gpt":0.3869555693556262,"score_spread":0.3296221472117109,"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."}}