{"id":"W2022133651","doi":"10.4155/fmc.13.55","title":"Targeting Metallo-β-Lactamase Enzymes in Antibiotic Resistance","year":2013,"lang":"en","type":"review","venue":"Future Medicinal Chemistry","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"British Columbia Knowledge Development Fund; Canadian Institutes of Health Research; U.S. Food and Drug Administration; Canada Research Chairs; Howard Hughes Medical Institute","keywords":"Antibiotics; Antibiotic resistance; Enzyme; Microbiology; Biology; Bacteria; Human health; Beta-Lactamase Inhibitors; Computational biology; Genetics; Medicine; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004571468,0.0009080959,0.001827335,0.00007906551,0.00008277943,0.00006084421,0.0008811837,0.001266514,0.0002996472],"category_scores_gemma":[0.0003763666,0.0007404826,0.0004561587,0.0003291747,0.0002560345,0.000009117489,0.0002248877,0.0009002239,0.00005973339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132016,"about_ca_system_score_gemma":0.0005811257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008505566,"about_ca_topic_score_gemma":0.000009237526,"domain_scores_codex":[0.9963914,0.0001649264,0.00110154,0.001188747,0.0004112786,0.000742161],"domain_scores_gemma":[0.9979249,0.00005591018,0.0006679477,0.001005082,0.0001033987,0.0002427928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003659748,0.0007426401,0.0005748053,0.2518863,0.001897381,0.001551062,0.000168581,0.000003529827,0.07833301,0.0001697748,0.320024,0.3442829],"study_design_scores_gemma":[0.0003124182,0.00002864784,0.00001450693,0.007514887,0.0002942955,0.00007606586,0.0001492886,7.780231e-7,0.003340456,0.000006333805,0.9875293,0.0007330583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006164353,0.9943903,0.00002988175,0.00006564189,0.0006859459,0.0005752527,0.00005812711,0.00003186883,0.003546508],"genre_scores_gemma":[0.0005577197,0.9831418,0.0009581145,0.00006659688,0.005014385,0.00003662211,0.001529727,0.0001418254,0.008553234],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6675053,"threshold_uncertainty_score":0.9995046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294925135402532,"score_gpt":0.2830900466339466,"score_spread":0.2701407952799213,"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."}}