{"id":"W4366083909","doi":"10.1128/aem.00105-23","title":"Serratia marcescens Colonization in a Neonatal Intensive Care Unit Has Multiple Sources, with Sink Drains as a Major Reservoir","year":2023,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Neonatal and Maternal Infections","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Government of Canada; Polytechnique Montréal; Centre hospitalier universitaire Sainte-Justine; Aix-Marseille Université; California HIV/AIDS Research Program","keywords":"Serratia marcescens; Sink (geography); Colonization; Outbreak; Neonatal intensive care unit; Intensive care; Biology; Microbiology; Medicine; Intensive care medicine; Pediatrics; Virology; Geography; Escherichia coli","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006981728,0.0005967492,0.0005544812,0.000828267,0.0006773123,0.0009069795,0.0002872112,0.0002906191,0.0008323376],"category_scores_gemma":[0.00208439,0.000256724,0.0002884876,0.0005152089,0.0005036127,0.0006935585,0.001050467,0.0003495351,0.0001438186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004390794,"about_ca_system_score_gemma":0.0008139105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004501994,"about_ca_topic_score_gemma":0.005125608,"domain_scores_codex":[0.9992835,0.0001503205,0.0001169149,0.0001420792,0.0001691833,0.0001381144],"domain_scores_gemma":[0.999042,0.0001826637,0.0004053481,0.00006234149,0.000134495,0.000173136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003360562,0.0001036946,0.9484752,0.0001440406,0.0000404805,0.009288756,0.0009688193,0.00030666,0.02829386,0.00008356512,0.0001520355,0.01180675],"study_design_scores_gemma":[0.00002001197,0.001249743,0.9479228,0.0002048878,0.0001867164,0.02013254,0.005741393,0.002625801,0.01998244,0.0002002355,0.001692784,0.00004065821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984267,0.0002809036,0.0006947818,0.00004320609,0.000007341403,0.00003001007,0.00004294367,0.00001357639,0.0004605558],"genre_scores_gemma":[0.9981955,0.0002172465,0.001369251,0.00003548888,0.00001116023,0.00001139387,0.00004805869,0.000004624583,0.0001071767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004501994,"threshold_uncertainty_score":0.008951604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184935791829812,"score_gpt":0.2146590873349247,"score_spread":0.2028097294166266,"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."}}