{"id":"W2051855929","doi":"10.1016/j.amjmed.2009.03.034","title":"Incidence, Risk Factors, and Outcomes of Klebsiella pneumoniae Bacteremia","year":2009,"lang":"en","type":"article","venue":"The American Journal of Medicine","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":297,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Calgary Laboratory Services","funders":"Health Research Board; University of Calgary","keywords":"Bacteremia; Medicine; Klebsiella pneumoniae; Population; Incidence (geometry); Epidemiology; Case fatality rate; Internal medicine; Risk factor; Intensive care medicine; Environmental health; Microbiology; Antibiotics","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":[0.0004565557,0.0001173291,0.0004056537,0.00004527882,0.00003344294,0.000004381176,0.0002506224,0.00002659393,0.00001010521],"category_scores_gemma":[0.0003527551,0.00005813844,0.0000628491,0.00009011121,0.0006735371,0.000003849371,0.00002692845,0.0001358993,2.767309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007046071,"about_ca_system_score_gemma":0.00003625538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003582377,"about_ca_topic_score_gemma":0.000003627978,"domain_scores_codex":[0.9991226,0.0001094124,0.00036751,0.00009221941,0.0001865936,0.0001216326],"domain_scores_gemma":[0.9986288,0.0000821536,0.0008936386,0.0002311481,0.00008851399,0.00007575892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001596895,0.00001830717,0.6976693,0.000003044354,0.00008417842,0.00000466415,0.0001811036,0.000002859687,0.2925166,0.00001477748,0.0006603876,0.008685022],"study_design_scores_gemma":[0.0003727849,0.002036289,0.9870312,0.00005328536,0.00007592867,0.00008449202,0.0006331162,0.000001546974,0.008613062,0.0001597174,0.0008733081,0.00006528866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971877,0.000524936,0.0002600325,0.00177072,0.00008582819,0.00003968713,0.000003381712,0.000001488886,0.0001261974],"genre_scores_gemma":[0.9971414,0.001970842,0.0003087344,0.0003377937,0.0001815927,5.739646e-8,0.000001513378,0.00000665587,0.00005141873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2893619,"threshold_uncertainty_score":0.2481676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006460177454710377,"score_gpt":0.2653531006937504,"score_spread":0.25889292323904,"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."}}