{"id":"W4281767378","doi":"10.3390/antibiotics11060775","title":"Identifying Targets for Antibiotic Use for the Management of Carbapenem-Resistant Acinetobacter baumannii (CRAb) in Hospitals—A Multi-Centre Nonlinear Time-Series Study","year":2022,"lang":"en","type":"article","venue":"Antibiotics","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Acinetobacter baumannii; Antibiotic resistance; Piperacillin; Tazobactam; Antimicrobial stewardship; Cephalosporin; Medicine; Antibiotics; Carbapenem; Population; Incidence (geometry); Defined daily dose; Acinetobacter; Infection control; Antimicrobial; Intensive care medicine; Microbiology; Biology; Environmental health; Imipenem","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":[0.001789906,0.0002385499,0.0003451683,0.0008006377,0.0002437127,0.0008697514,0.0004797761,0.0005053498,0.0006323122],"category_scores_gemma":[0.004482538,0.0001758758,0.0004965306,0.001022706,0.0002452394,0.0007887772,0.0007192485,0.0004969844,0.0001156848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001273006,"about_ca_system_score_gemma":0.0008592064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01294307,"about_ca_topic_score_gemma":0.01688139,"domain_scores_codex":[0.9989918,0.0003820567,0.0001260118,0.0001767061,0.0001645576,0.0001588714],"domain_scores_gemma":[0.9968097,0.0008709111,0.00159638,0.0001777552,0.0003702989,0.0001750107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001757715,0.0001590293,0.9834965,0.00007396288,0.0001564081,0.000179487,0.000359379,0.004749845,0.001271478,0.0002240523,0.0002342698,0.00891984],"study_design_scores_gemma":[0.000005593793,0.0002413115,0.972218,0.00002987415,0.00005498597,0.0001385852,0.001283772,0.02490634,0.0005726921,0.0002062138,0.000325903,0.00001666333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984895,0.00009870909,0.0008573381,0.0001145074,0.000002985197,0.00001678548,0.000239169,0.000004582777,0.0001763911],"genre_scores_gemma":[0.9992197,0.00005046409,0.0004650825,0.00001884636,0.000003670015,0.00001226281,0.0001712048,0.000001654543,0.00005699911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01294307,"threshold_uncertainty_score":0.02573544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908374797050668,"score_gpt":0.2622586219563016,"score_spread":0.2431748739857949,"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."}}