{"id":"W2785436589","doi":"10.1021/ja303579d","title":"New Delhi Metallo-β-Lactamase: Structural Insights into β-Lactam Recognition and Inhibition","year":2012,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":287,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Howard Hughes Medical Institute","keywords":"Chemistry; Meropenem; Antibiotics; Hydrolase; Lactam; New delhi; Carbapenem; Bacteria; Microbiology; Stereochemistry; Antibiotic resistance; Beta-Lactamase Inhibitors; DNA gyrase; Enzyme; Biochemistry; Escherichia coli; Biology; Genetics; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001330578,0.0001291401,0.00020069,0.000009543678,0.00006639653,0.00002442271,0.0001360691,0.00008072139,0.00001318749],"category_scores_gemma":[0.0001005456,0.00008513245,0.0002485688,0.0001073116,0.0002620011,0.00002417784,0.0001111779,0.0001957479,0.000001517057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000524057,"about_ca_system_score_gemma":0.00005810855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000202819,"about_ca_topic_score_gemma":0.000001391353,"domain_scores_codex":[0.9992009,0.00005496541,0.0002651991,0.0001168026,0.0001782404,0.0001838441],"domain_scores_gemma":[0.999099,0.00002092121,0.0004959176,0.0001453975,0.00008377027,0.0001550428],"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":[0.00008146404,0.00001642874,0.004978115,0.000008869628,0.00008675099,2.888547e-7,0.000206415,3.848522e-7,0.9864273,0.000003238695,0.003798527,0.004392238],"study_design_scores_gemma":[0.0004175718,0.00009958044,0.02077588,0.0000309776,0.00008989027,0.00009426001,0.0003439276,0.000007170723,0.9734339,0.000623177,0.00391849,0.0001651656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980612,0.0007796487,0.0005498851,0.0003590552,0.0001605638,0.00005284548,0.000002479739,0.00000335787,0.00003099451],"genre_scores_gemma":[0.9873976,0.0003684718,0.01074317,0.0005833355,0.0008483775,4.061584e-7,0.00001140241,0.00001436098,0.00003293663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579777,"threshold_uncertainty_score":0.34716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019256863577759,"score_gpt":0.2472568005083015,"score_spread":0.2370642318725239,"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."}}