{"id":"W2808824345","doi":"10.1128/jcm.00776-18","title":"Identification of Biomarkers for Differentiation of Hypervirulent Klebsiella pneumoniae from Classical K. pneumoniae","year":2018,"lang":"en","type":"article","venue":"Journal of Clinical Microbiology","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":759,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institutes of Health; National Institute of Allergy and Infectious Diseases; Centers for Disease Control and Prevention; U.S. Department of Veterans Affairs","keywords":"Klebsiella pneumoniae; Microbiology; Klebsiella infections; Biology; Klebsiella; Identification (biology); Virology; Escherichia coli; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000887885,0.0001318751,0.0005786082,0.00006252315,0.0000280686,0.000007524478,0.0003496596,0.0003927288,0.00002293052],"category_scores_gemma":[0.0009553125,0.0001073216,0.0004183803,0.00005777901,0.0005406137,0.000006670423,0.00007281944,0.000116284,0.000003802956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001177034,"about_ca_system_score_gemma":0.0001195034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002853579,"about_ca_topic_score_gemma":0.00001464526,"domain_scores_codex":[0.997217,0.0002477065,0.002052977,0.0002560415,0.00006181073,0.0001644642],"domain_scores_gemma":[0.9965236,0.0002897412,0.00219763,0.0003088441,0.0006140841,0.00006611385],"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":[0.0009452277,0.0002411741,0.04468033,0.00002411189,0.0003199381,3.958917e-7,0.0000145238,9.88985e-7,0.9500154,0.00002998629,0.001329405,0.002398579],"study_design_scores_gemma":[0.001554634,0.002062616,0.1487964,0.00006876099,0.0001630724,0.00002028629,0.00004419507,0.00005225115,0.8370834,0.0003968402,0.009618123,0.0001394456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900834,0.0002237328,0.007601409,0.0003557874,0.001403428,0.0001444906,0.0001624989,0.000001905035,0.00002334213],"genre_scores_gemma":[0.9970642,0.0002941153,0.001675288,0.00006594422,0.000734519,0.000001034023,0.00007926642,0.00001548049,0.00007017942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.112932,"threshold_uncertainty_score":0.4376449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02625152820939046,"score_gpt":0.3368735085951429,"score_spread":0.3106219803857524,"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."}}