{"id":"W4410041677","doi":"10.1021/acs.analchem.5c00509","title":"Precise Detection of Carbapenem-Resistant and Hypervirulent <i>Klebsiella pneumoniae</i> Using MOF-Derived Bimetallic Nanocube Hybrid Nanosheet","year":2025,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada)","funders":"Natural Science Foundation of Zhejiang Province; National Key Research and Development Program of China; Natural Science Foundation of Ningbo","keywords":"Klebsiella pneumoniae; Chemistry; Bimetallic strip; Nanosheet; Klebsiella infections; Microbiology; Carbapenem; Gene; Biochemistry; Escherichia coli; Antibiotics","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":[0.0001363513,0.0002627406,0.0002416359,0.0003840765,0.0001373316,0.0003091732,0.0002494867,0.0005224479,0.0004067923],"category_scores_gemma":[0.0003651987,0.0001665549,0.0002069196,0.0001486975,0.0001917658,0.000287027,0.0001996056,0.0001959557,0.0001554837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002923925,"about_ca_system_score_gemma":0.0001632343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520312,"about_ca_topic_score_gemma":0.003084355,"domain_scores_codex":[0.9998584,0.00001015514,0.000008735963,0.00005467267,0.00004840046,0.00001966552],"domain_scores_gemma":[0.9998758,0.00003242167,0.00003875676,0.000008679612,0.00003387518,0.00001056729],"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":[0.0001056196,0.00001564188,0.004534642,0.00003753552,0.00001404519,0.00005596558,0.00001145977,0.001241586,0.9871145,0.00004477584,0.00006384616,0.006760254],"study_design_scores_gemma":[0.000004463185,0.0001058881,0.007956222,0.000005155891,0.00001471867,0.0001773791,0.00002784685,0.03794085,0.9533542,0.00004533597,0.0003509504,0.00001696754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803708,0.000343643,0.01812164,0.00004545857,0.00001444256,0.00001967683,0.0003415759,0.0002255914,0.000517125],"genre_scores_gemma":[0.9761258,0.0001390031,0.02277383,0.00004227626,0.000004716619,0.00002074493,0.0002141783,0.00001608485,0.000663275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001520312,"threshold_uncertainty_score":0.003022969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008256271558199324,"score_gpt":0.2438513104134588,"score_spread":0.2355950388552595,"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."}}