{"id":"W4310331737","doi":"10.1017/ash.2022.320","title":"Ten ways to make the most of World Antimicrobial Awareness Week","year":2022,"lang":"en","type":"article","venue":"Antimicrobial Stewardship & Healthcare Epidemiology","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario","funders":"","keywords":"Antimicrobial; Antibiotic resistance; Public health; Public relations; Business; Medicine; Political science; Microbiology; Biology; Nursing; Antibiotics","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":[0.02174554,0.001773893,0.001009187,0.001600177,0.007872386,0.01793259,0.003561575,0.01463153,0.04293566],"category_scores_gemma":[0.03266057,0.00124931,0.00184596,0.000883468,0.00985341,0.02142266,0.01734168,0.02595812,0.01277619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004227939,"about_ca_system_score_gemma":0.0216087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003779722,"about_ca_topic_score_gemma":0.008955378,"domain_scores_codex":[0.9845303,0.00649613,0.0006267381,0.0009078709,0.003797871,0.003641147],"domain_scores_gemma":[0.9542359,0.008999879,0.002103902,0.002176294,0.006987753,0.02549623],"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":[0.0001795034,0.0008808887,0.002127215,0.0009516837,0.00009046735,0.0003812237,0.003702457,0.0001965454,0.0008085105,0.02565069,0.7728305,0.1922003],"study_design_scores_gemma":[0.00007338305,0.0002249465,0.002380432,0.001486768,0.00002847562,0.0002222857,0.008112424,0.0001752398,0.0004572062,0.02336933,0.9633583,0.0001113324],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005401398,0.01728551,0.008672792,0.8872619,0.04371043,0.0002690267,0.0002544782,0.000947424,0.03619704],"genre_scores_gemma":[0.1311881,0.0389534,0.065726,0.5983199,0.02030156,0.001731942,0.0008248057,0.001113916,0.1418404],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04293566,"threshold_uncertainty_score":0.1436341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05954160888002842,"score_gpt":0.3140387115981256,"score_spread":0.2544971027180972,"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."}}