{"id":"W4400866088","doi":"10.1101/2024.07.18.604080","title":"Characterization of a nosocomial outbreak caused by VIM-1 <i>Klebsiella michiganensis</i> using Fourier-Transform Infrared (FT-IR) Spectroscopy","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut für Medizinische Mikrobiologie, Universität Zürich; Instituto de Salud Carlos III; European Regional Development Fund; Instituto de Investigación Sanitaria Gregorio Marañón; Universität Zürich; McGill University","keywords":"Fourier transform infrared spectroscopy; Fourier transform; Infrared; Characterization (materials science); Outbreak; Infrared spectroscopy; Fourier transform spectroscopy; Chemistry; Materials science; Physics; Biology; Virology; Optics; Nanotechnology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005698913,0.0005015215,0.0003351468,0.001075256,0.0003753066,0.0006342645,0.0003964242,0.0006341659,0.0003968931],"category_scores_gemma":[0.001003541,0.0001859321,0.0004673665,0.0008285744,0.0002326227,0.0003319077,0.000374227,0.0003370132,0.0001992566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001926166,"about_ca_system_score_gemma":0.0002207219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435524,"about_ca_topic_score_gemma":0.001729947,"domain_scores_codex":[0.9993304,0.0001372422,0.0001020676,0.0001711585,0.0001816764,0.00007749507],"domain_scores_gemma":[0.9992442,0.0001639092,0.0002966131,0.00004109557,0.0002022943,0.0000519909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000436916,0.0002632978,0.1979743,0.0001947451,0.00007300883,0.001261579,0.0005554015,0.0004175189,0.7910054,0.00004754165,0.0001343078,0.007636021],"study_design_scores_gemma":[0.00001565969,0.001048443,0.6564996,0.00005635213,0.0002415531,0.003947208,0.00134472,0.005390318,0.3298723,0.00006853219,0.001472125,0.00004313879],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973319,0.0002017134,0.001684831,0.00002948441,0.000009401047,0.00003458916,0.0002916019,0.00001877044,0.0003977556],"genre_scores_gemma":[0.9934648,0.0001848293,0.005404725,0.00002905877,0.00001145891,0.00002074589,0.0006901633,0.00000873251,0.000185478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002435524,"threshold_uncertainty_score":0.004842639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007055173180512616,"score_gpt":0.2193054517236453,"score_spread":0.2122502785431327,"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."}}