{"id":"W3189637621","doi":"10.21203/rs.3.rs-770166/v1","title":"Characterizing the ESBL-Producing Enterobacterales Bioburden in a Neonatal Unit Using Chromogenic Culture Media: A Feasible and Efficient Environmental Sampling Method","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Center for AIDS Research, University of Washington; University of Pennsylvania; National Institutes of Health; Children's Hospital of Philadelphia","keywords":"Bioburden; Chromogenic; Sampling (signal processing); Computer science; Chemistry; Microbiology; Biology; Telecommunications; Chromatography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002031544,0.0004623192,0.0004628811,0.0003017963,0.0004003885,0.0006574924,0.0007470768,0.0005148881,0.00007221165],"category_scores_gemma":[0.0002459746,0.000379746,0.000220513,0.0002791351,0.0003151346,0.00001796847,0.004693839,0.001816557,0.000005303006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002295054,"about_ca_system_score_gemma":0.0003403335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004389934,"about_ca_topic_score_gemma":0.0005426601,"domain_scores_codex":[0.9948466,0.001391872,0.0004723844,0.001457477,0.0007767411,0.001054921],"domain_scores_gemma":[0.9982865,0.0001059826,0.0001371612,0.001103496,0.0001349701,0.0002319098],"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":[0.000171921,0.0001236647,0.02620682,0.0004756028,0.0001557516,0.00007876608,0.00566829,0.000364947,0.9640677,0.000002844693,0.000009032,0.002674658],"study_design_scores_gemma":[0.004390629,0.0009356243,0.2661955,0.007607615,0.0001843906,0.0009603366,0.05143695,0.005678889,0.6491548,0.0000886323,0.01059088,0.002775731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890851,0.00864016,0.0005718186,0.0002190168,0.0001797533,0.001026885,0.0002474244,0.00001374309,0.00001605486],"genre_scores_gemma":[0.9923173,0.003094056,0.001878041,0.00004668401,0.0006076962,0.000147837,0.001740118,0.00008205086,0.00008619505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3149129,"threshold_uncertainty_score":0.9998655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08017311892436901,"score_gpt":0.3933149216853782,"score_spread":0.3131418027610092,"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."}}