{"id":"W4392365153","doi":"10.1016/j.isci.2024.109402","title":"Cultivation and sequencing-free protocol for Serratia marcescens detection and typing","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; University of Ottawa","funders":"Fondazione Romeo ed Enrica Invernizzi; Università degli Studi di Milano","keywords":"Serratia marcescens; Outbreak; Typing; Enterobacteriaceae Infections; Intensive care; Pathogen; Microbiology; Biology; Protocol (science); Serratia; Computational biology; Medicine; Genetics; Intensive care medicine; Virology; Enterobacteriaceae; Bacteria; Gene; Escherichia coli","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":[],"consensus_categories":[],"category_scores_codex":[0.0002084338,0.00004141757,0.00002791344,0.00001893556,0.0001031055,0.0001241113,0.00004637095,0.00003296364,0.000002304114],"category_scores_gemma":[0.0002426024,0.00003700486,0.0000093094,0.00005822149,0.0000550641,0.00001206911,0.00004152701,0.00002232334,5.853167e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009568057,"about_ca_system_score_gemma":0.00003186076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001097711,"about_ca_topic_score_gemma":0.00006894446,"domain_scores_codex":[0.9995909,0.00001224045,0.00007447506,0.0002237158,0.00003017689,0.00006851371],"domain_scores_gemma":[0.9998121,0.000009698556,0.00001782912,0.00009748808,0.00003944735,0.00002348437],"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":[0.000007338657,0.000001911392,0.0002814589,0.00006525773,0.000001055862,5.854572e-8,0.00008633031,0.000001082138,0.985877,0.00007017775,0.00008284568,0.01352551],"study_design_scores_gemma":[0.0005596675,0.0002977133,0.02889061,0.0001444208,0.000009333904,0.00004127478,0.0002747879,0.03214771,0.8894665,0.001599587,0.04628361,0.0002847986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.956044,0.00004434086,0.02617894,0.000345213,0.0001526552,0.01695932,0.00000748947,0.00004337159,0.0002246887],"genre_scores_gemma":[0.9916976,0.000001460507,0.001610397,0.00004317496,0.00008063272,0.006253852,0.000003684606,0.000004519056,0.0003046409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09641048,"threshold_uncertainty_score":0.1509014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03829558466245885,"score_gpt":0.3213551681347133,"score_spread":0.2830595834722544,"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."}}