{"id":"W4385239671","doi":"10.22541/au.169029172.22937237/v1","title":"Cultivation-free and sequencing-free protocol for the simultaneous detection and typing of Serratia marcescens: a rapid and cost-effective tool for large environmental/clinical screenings","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Bacterial Identification and Susceptibility Testing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"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; Typing; Biology; Outbreak; Protocol (science); Multilocus sequence typing; Microbiology; Medicine; Virology; Genetics; Genotype; Escherichia coli; Gene; Pathology","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":[0.001038753,0.0001936834,0.0002392825,0.0000309159,0.0001970693,0.00009312701,0.0001692131,0.0003063818,0.000005352719],"category_scores_gemma":[0.003776072,0.0001565818,0.0000860611,0.00002576122,0.0001461546,0.000006835379,0.0006862773,0.0001479624,1.693572e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002243923,"about_ca_system_score_gemma":0.00003964016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004914981,"about_ca_topic_score_gemma":0.0002970326,"domain_scores_codex":[0.998612,0.0001068397,0.0004524789,0.0006014746,0.00006847547,0.0001587496],"domain_scores_gemma":[0.9983351,0.0007153599,0.0002987321,0.000501317,0.0001046162,0.00004491604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001830598,0.0001204325,0.009473632,0.001821522,0.0003841435,4.58875e-7,0.0004314525,0.00006948999,0.8943933,0.00006730389,0.0007340652,0.09067356],"study_design_scores_gemma":[0.03558235,0.005886604,0.2136166,0.001399336,0.0009588367,0.00006954752,0.004297079,0.3470248,0.3149621,0.006581895,0.0665269,0.003093945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.541465,0.00009135714,0.1382861,0.0005237142,0.0002411185,0.3183139,0.0009902338,0.00007048446,0.0000181757],"genre_scores_gemma":[0.8214495,0.00006640868,0.007728921,0.0001526053,0.0002824797,0.1695433,0.0002636665,0.00005479792,0.0004582288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5794312,"threshold_uncertainty_score":0.6385219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06031849365427447,"score_gpt":0.3469777626821199,"score_spread":0.2866592690278454,"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."}}