{"id":"W3216120198","doi":"10.2139/ssrn.3952482","title":"Multi-Site Implementation of Whole Genome Sequencing for Hospital Infection Control: A Prospective Genomic Epidemiological Analysis","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Antibiotic Resistance in Bacteria","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Whole genome sequencing; Epidemiology; Genomic sequencing; Computational biology; Genome; DNA sequencing; Genomics; Medicine; Biology; Genetics; DNA; Gene; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004740237,0.0005456312,0.0005582253,0.001315065,0.000337322,0.00143443,0.0007662979,0.0009468826,0.003436168],"category_scores_gemma":[0.005671949,0.0003275868,0.0006991239,0.002326867,0.0002438408,0.0007376682,0.001158121,0.0008704482,0.0009072963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007486445,"about_ca_system_score_gemma":0.002141563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005346752,"about_ca_topic_score_gemma":0.009908149,"domain_scores_codex":[0.9964814,0.001654572,0.0001475636,0.000690021,0.0006522982,0.0003741902],"domain_scores_gemma":[0.9928694,0.001553288,0.001437379,0.0009999315,0.002098025,0.001041939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001686697,0.001278401,0.7461264,0.000508854,0.0005542036,0.0002440858,0.0006172222,0.004391599,0.03607671,0.001274172,0.004914525,0.2023273],"study_design_scores_gemma":[0.0001233288,0.002279588,0.9613385,0.0002324151,0.0004619029,0.0004562818,0.001113627,0.01176877,0.008970462,0.0008687648,0.01232116,0.00006521524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349148,0.001431082,0.04134522,0.001703413,0.0002058874,0.0007028148,0.01373363,0.0005167313,0.005446492],"genre_scores_gemma":[0.9281292,0.0007226077,0.05744644,0.0008760552,0.00008067693,0.0003243529,0.009994803,0.0001341756,0.002291707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005346752,"threshold_uncertainty_score":0.02506906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009525129260567072,"score_gpt":0.2891927589264887,"score_spread":0.2796676296659216,"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."}}