{"id":"W2098951921","doi":"10.1128/jcm.02175-07","title":"New and Sensitive Assay for Determining <i>Pseudomonas aeruginosa</i> Metallo-Beta-Lactamase Resistance to Imipenem","year":2008,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Calgary Laboratory Services; University of Toronto","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Etest; Imipenem; Pseudomonas aeruginosa; Microbiology; Lysis; BETA (programming language); Beta-lactamase; Pseudomonadaceae; Biology; Chemistry; Bacteria; Antibiotic resistance; Molecular biology; Antibiotics; Escherichia coli; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009289237,0.001218038,0.0007785051,0.001749029,0.0003428737,0.0008869489,0.001206347,0.001411582,0.001998073],"category_scores_gemma":[0.001285072,0.0006285324,0.0005046603,0.0004734098,0.0004879136,0.001092189,0.0008072986,0.001853567,0.002057882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003151048,"about_ca_system_score_gemma":0.0003040339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002676206,"about_ca_topic_score_gemma":0.0005333788,"domain_scores_codex":[0.9973482,0.0005539607,0.0002620805,0.0004096749,0.001289643,0.0001364389],"domain_scores_gemma":[0.9987456,0.0003182029,0.0002128319,0.0001418865,0.0004037434,0.0001776653],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007557082,0.00009247773,0.000970456,0.0001374396,0.00002031429,0.00005447312,0.00002715086,0.0001010143,0.986016,0.0001696989,0.0005580617,0.01177736],"study_design_scores_gemma":[0.00003409611,0.0007082211,0.004935283,0.00004009129,0.00007406046,0.001877408,0.00003791538,0.003954859,0.9717396,0.000193116,0.01634059,0.00006480536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.248614,0.01414114,0.7143263,0.001383914,0.001332509,0.0009543807,0.003313639,0.004736929,0.01119725],"genre_scores_gemma":[0.4258306,0.00582748,0.5460276,0.0007570369,0.0006034197,0.0009675367,0.005135168,0.0002142133,0.01463706],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001998073,"threshold_uncertainty_score":0.006684184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0332829554698882,"score_gpt":0.3299584579271272,"score_spread":0.2966755024572391,"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."}}