{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002795627,0.0002709271,0.0004861073,0.00003958507,0.00008895429,0.00001953538,0.0002878369,0.0003736331,0.0001196397],"category_scores_gemma":[0.0001002424,0.0001210968,0.000301087,0.0003641484,0.0002632616,0.000061887,0.00008720386,0.000247012,0.00002326868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007161847,"about_ca_system_score_gemma":0.00002069854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002838262,"about_ca_topic_score_gemma":0.0004909359,"domain_scores_codex":[0.9982193,0.0002536352,0.0004977944,0.0005362595,0.00007121701,0.0004217867],"domain_scores_gemma":[0.999041,0.0005548245,0.0001825303,0.0001132712,0.00003855065,0.00006980188],"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":[0.0001967619,0.0001096352,0.004168959,0.00005554849,0.00009374804,0.00001195425,0.00009842728,0.0001008548,0.993234,0.0001360944,0.0001249724,0.001669077],"study_design_scores_gemma":[0.0005389579,0.001612061,0.007715311,0.0001269564,0.0001521644,0.0001363478,0.0004114774,0.0005824511,0.9804682,0.0004134808,0.007447271,0.0003953328],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935828,0.004173628,0.000221517,0.000309524,0.0009176218,0.0002473925,0.0001539999,0.00008899763,0.0003045177],"genre_scores_gemma":[0.999106,0.0001883341,0.000116584,0.00007173621,0.0002464245,0.00001242136,0.0001903973,0.000003673081,0.00006443014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01276578,"threshold_uncertainty_score":0.4938183,"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."}}