{"id":"W4383198258","doi":"10.1093/cid/ciad151","title":"Antibiotic Consumption During the Coronavirus Disease 2019 Pandemic and Emergence of Carbapenemase-Producing <i>Klebsiella pneumoniae</i> Lineages Among Inpatients in a Chilean Hospital: A Time-Series Study and Phylogenomic Analysis","year":2023,"lang":"en","type":"article","venue":"Clinical Infectious Diseases","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Canadian Institute for Advanced Research","keywords":"Pandemic; Klebsiella pneumoniae; Medicine; Antibiotics; Microbiology; Coronavirus disease 2019 (COVID-19); Disease; Virology; Biology; Infectious disease (medical specialty); Internal medicine; Gene; Escherichia coli; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005230543,0.0003014579,0.0002948031,0.0008838616,0.0003511783,0.0007304045,0.0004020408,0.000418285,0.00113607],"category_scores_gemma":[0.001180117,0.0002771679,0.0004785949,0.001120961,0.0003302818,0.0005304673,0.0007124321,0.0005280783,0.0001908388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105623,"about_ca_system_score_gemma":0.0007265719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0163366,"about_ca_topic_score_gemma":0.01392098,"domain_scores_codex":[0.9995971,0.00007384151,0.00004603716,0.0001170969,0.00004677075,0.0001192552],"domain_scores_gemma":[0.9985826,0.0001941802,0.0007447161,0.00009452477,0.0001466254,0.0002373508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009631336,0.00003843919,0.9985091,0.0000117981,0.0000314827,0.0001483979,0.0001682563,0.00005086721,0.0002021417,0.000008094686,0.00008785939,0.0006471671],"study_design_scores_gemma":[0.000003488428,0.00007461519,0.9987695,0.000006951204,0.00001148711,0.0001377977,0.0006453606,0.0001941536,0.00004568157,0.000006987,0.0001001535,0.000003989579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994422,0.00005229063,0.00002096081,0.00002787956,0.000001672705,0.000005910087,0.0003349533,0.000001677987,0.0001124482],"genre_scores_gemma":[0.9992065,0.00007277197,0.00004814504,0.00002208816,0.000007470713,0.00001141529,0.0005291975,0.000001684703,0.0001007791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0163366,"threshold_uncertainty_score":0.03248298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01640679470466915,"score_gpt":0.3134712239612701,"score_spread":0.2970644292566009,"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."}}