{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01489892,0.001897047,0.002651454,0.003174825,0.001774363,0.007263971,0.002662256,0.02037572,0.03633888],"category_scores_gemma":[0.0954887,0.001638656,0.001185986,0.002422771,0.003412474,0.01220351,0.004038064,0.02307283,0.03307915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003219701,"about_ca_system_score_gemma":0.01379816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009067055,"about_ca_topic_score_gemma":0.02663447,"domain_scores_codex":[0.9830941,0.008798264,0.001238763,0.000341178,0.005846864,0.0006809189],"domain_scores_gemma":[0.9148376,0.05863076,0.004433917,0.002278855,0.01154986,0.008268994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008086393,0.00002814464,0.00008558696,0.0001104052,0.000007233672,0.00004284777,0.00008912146,0.00006438766,0.00003138705,0.001521875,0.969453,0.02855788],"study_design_scores_gemma":[0.00004655511,0.00003204581,0.0004370132,0.001816368,0.00002208115,0.0001487657,0.0003313269,0.0001856911,0.00008597121,0.01386914,0.9829794,0.00004583885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0002308124,0.02451696,0.005233123,0.8944404,0.03399083,0.0001402645,0.0006766508,0.0006839829,0.04008683],"genre_scores_gemma":[0.01008675,0.09298678,0.05634184,0.6192929,0.08421231,0.001637383,0.001280766,0.001404802,0.1327565],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.03633888,"threshold_uncertainty_score":0.1215656,"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."}}