{"id":"W4404040338","doi":"10.1128/spectrum.01027-24","title":"Limit of detection of <i>Salmonella</i> ser. Enteritidis using culture-based versus culture-independent diagnostic approaches","year":2024,"lang":"en","type":"article","venue":"Microbiology Spectrum","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada; Agriculture and Agri-Food Canada; Canadian Food Inspection Agency; Carleton University","funders":"Ministry of Agriculture, Food and Rural Affairs; Public Health Agency; Public Health Agency of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs; Canadian Food Inspection Agency","keywords":"Salmonella; DNA extraction; Biology; Metagenomics; Salmonella enteritidis; Detection limit; Microbiological culture; Microbiology; Enrichment culture; Polymerase chain reaction; Biotechnology; Bacteria; Genetics; Gene; Chromatography; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004011613,0.00109823,0.0006826649,0.001044082,0.00024928,0.001637293,0.0008408272,0.001798501,0.0007625857],"category_scores_gemma":[0.005986751,0.0006530723,0.0007909235,0.0005343444,0.0008042958,0.0006060902,0.001253084,0.000700836,0.0005923056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007388354,"about_ca_system_score_gemma":0.0003851457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001749627,"about_ca_topic_score_gemma":0.002628203,"domain_scores_codex":[0.9926402,0.002191971,0.0005607716,0.001327589,0.00294108,0.0003383818],"domain_scores_gemma":[0.9952053,0.002525773,0.0009457789,0.0002519366,0.0009576514,0.0001135749],"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":[0.0003058124,0.0001147191,0.01028685,0.0004393769,0.00008404205,0.00005448782,0.0001043155,0.0004922869,0.9799142,0.00008344028,0.0001617804,0.007958657],"study_design_scores_gemma":[0.00001160918,0.001086395,0.02096433,0.0001279011,0.0001292121,0.0003103755,0.0001833909,0.004542709,0.9710398,0.0001114939,0.001448114,0.00004471758],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007578,0.009503495,0.08156278,0.0005674068,0.0002384287,0.0002245318,0.001502818,0.0007870455,0.004855786],"genre_scores_gemma":[0.9227498,0.002759082,0.07023408,0.0007907625,0.00005107292,0.0001730283,0.001754856,0.0000718271,0.001415511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004011613,"threshold_uncertainty_score":0.02121574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04751191452863015,"score_gpt":0.2373777492626157,"score_spread":0.1898658347339855,"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."}}