{"id":"W4307838324","doi":"10.1016/s1473-3099(22)00683-1","title":"The WHO AWaRe Antibiotic Book: providing guidance on optimal use and informing policy","year":2022,"lang":"en","type":"article","venue":"The Lancet Infectious Diseases","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":62,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Institute of Infection and Immunity","funders":"World Health Organization","keywords":"Medicine; Antimicrobial stewardship; Antibiotics; Antibiotic Stewardship; Stewardship (theology); Health care; Work (physics); Resource (disambiguation); Business; Political science; Computer science; Antibiotic resistance; Law; Engineering; Biology; Politics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001899574,0.0001557173,0.0002184217,0.00005225801,0.002436003,0.00009720636,0.0002734032,0.0000426189,0.00003446604],"category_scores_gemma":[0.0002280918,0.00009018102,0.00006802097,0.0001662197,0.0003333988,0.0001309966,0.0002543633,0.0003119801,0.00003048054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006692878,"about_ca_system_score_gemma":0.0001014331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001808664,"about_ca_topic_score_gemma":0.00002941702,"domain_scores_codex":[0.9989451,0.0002161391,0.000167582,0.000200615,0.0000590545,0.000411565],"domain_scores_gemma":[0.9989731,0.0004639353,0.0001234448,0.000387444,0.00002826426,0.0000237632],"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":[0.002855421,0.0008053496,0.6225635,0.0004392978,0.001567445,0.0001212092,0.003612743,0.003553901,0.008232886,0.116741,0.2107595,0.02874773],"study_design_scores_gemma":[0.0033723,0.001057813,0.2294879,0.0003132938,0.0002480142,0.000426775,0.001765155,0.0001867038,0.004269243,0.000727778,0.7573788,0.0007662977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831436,0.01184263,0.00002981717,0.002363814,0.000428141,0.0003937253,0.0001431353,0.0002079846,0.001447211],"genre_scores_gemma":[0.9929891,0.001308591,0.000001785805,0.00247697,0.0001719674,0.00001522812,0.00001546588,0.00001663261,0.003004255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5466192,"threshold_uncertainty_score":0.9988627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01376383488902243,"score_gpt":0.249383708235177,"score_spread":0.2356198733461546,"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."}}