{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002598391,0.001364434,0.001478329,0.00194623,0.0005273221,0.0006967092,0.0009708003,0.001045094,0.001639198],"category_scores_gemma":[0.005154275,0.0008262478,0.001086002,0.001118698,0.0005633096,0.0007576203,0.001491714,0.001758161,0.003794944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002988598,"about_ca_system_score_gemma":0.0009503686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004296211,"about_ca_topic_score_gemma":0.001070528,"domain_scores_codex":[0.9941228,0.001432891,0.0008331728,0.001242998,0.001980059,0.0003881516],"domain_scores_gemma":[0.9972746,0.0006208363,0.0004950154,0.0006293172,0.0007668016,0.0002134375],"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":[0.0001907202,0.0001232509,0.001529615,0.0002257914,0.00003188515,0.0001410307,0.000138301,0.0004622154,0.9750357,0.000173597,0.001055804,0.02089214],"study_design_scores_gemma":[0.00004207968,0.0007316056,0.007662513,0.0001005018,0.0001373244,0.0006698485,0.000122772,0.01253288,0.9568452,0.0003535854,0.0206822,0.000119466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2249275,0.002703589,0.7530209,0.0005977397,0.0005814727,0.003330765,0.004852825,0.006176593,0.003808699],"genre_scores_gemma":[0.2931598,0.002351461,0.6732379,0.0006918748,0.0002333857,0.005740871,0.01732365,0.0009071196,0.006354095],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002598391,"threshold_uncertainty_score":0.01374179,"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."}}