{"id":"W3098936072","doi":"10.1371/journal.pone.0231754","title":"A mathematical model and inference method for bacterial colonization in hospital units applied to active surveillance data for carbapenem-resistant enterobacteriaceae","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Antibiotic Use and Resistance","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of General Medical Sciences; National Institutes of Health; York University; NYU Langone Medical Center","keywords":"Inference; Transmission (telecommunications); Colonization; Carbapenem; Computer science; Medicine; Biology; Antibiotics; Artificial intelligence; Microbiology","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":[0.006454398,0.00106139,0.001119576,0.001456336,0.0008160912,0.001220645,0.002565525,0.00140704,0.003336511],"category_scores_gemma":[0.01993338,0.0008460532,0.002339754,0.001262899,0.001097393,0.001927072,0.001556828,0.002561057,0.000800991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037798,"about_ca_system_score_gemma":0.003551215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01508487,"about_ca_topic_score_gemma":0.009906712,"domain_scores_codex":[0.9978835,0.001061201,0.0001314583,0.0004085169,0.0003817304,0.0001335366],"domain_scores_gemma":[0.9889793,0.008826406,0.0007653394,0.0003647995,0.0009212999,0.0001426609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004136375,0.00006096661,0.002563432,0.0001180549,0.00008513913,0.0002582187,0.000132111,0.8819852,0.001150928,0.07927632,0.00174234,0.03258585],"study_design_scores_gemma":[0.000008250066,0.00001764637,0.0001503643,0.000007827947,0.00001191212,0.00004111142,0.000006888029,0.9876001,0.0001702246,0.01143314,0.0005417085,0.0000108907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001840388,0.00007424566,0.9974083,0.0001409173,0.00001698577,0.00003665209,0.00007889997,0.00007909608,0.0003244451],"genre_scores_gemma":[0.1766003,0.0008698409,0.8140076,0.0003048195,0.0002053466,0.001297871,0.000853374,0.0001655933,0.005695218],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01508487,"threshold_uncertainty_score":0.03413451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06554603901477991,"score_gpt":0.2741402142337038,"score_spread":0.2085941752189239,"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."}}