{"id":"W2286019762","doi":"10.4315/0362-028x-67.1.189","title":"Enrichment and DNA Extraction Protocols for the Simultaneous Detection of Salmonella and Listeria monocytogenes in Raw Sausage Meat with Multiplex Real-Time PCR","year":2004,"lang":"en","type":"article","venue":"Journal of Food Protection","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":76,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Canadian Institute for Public Safety Research and Treatment","funders":"Natural Sciences and Engineering Research Council of Canada; General Administration of Customs; Shanxi Agricultural University; Shanxi University","keywords":"Listeria monocytogenes; Salmonella; Listeria; Multiplex; Multiplex polymerase chain reaction; Biology; SYBR Green I; DNA extraction; Real-time polymerase chain reaction; Polymerase chain reaction; Raw meat; Microbiology; Food science; Bacteria; Gene; Genetics","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":[0.0005366001,0.000113035,0.0002318011,0.00003011812,0.0001230787,0.00002765955,0.00006005862,0.0001043625,0.000003469015],"category_scores_gemma":[0.0001142271,0.00004070738,0.00004957941,0.000135141,0.00005239232,0.0001253466,0.00001535525,0.0001144631,2.057447e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000466905,"about_ca_system_score_gemma":0.000009295043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000279556,"about_ca_topic_score_gemma":0.0007122866,"domain_scores_codex":[0.9991133,0.0001145305,0.0003718339,0.0001485241,0.0001102839,0.0001415589],"domain_scores_gemma":[0.9990202,0.0003312597,0.000463461,0.00003687257,0.0001052918,0.00004291021],"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":[0.00163562,0.00006218324,0.0007264918,0.00002336078,0.0000254256,0.000002079976,0.00009490104,0.0006921783,0.9236088,0.000003317839,5.350915e-7,0.07312506],"study_design_scores_gemma":[0.002508988,0.01605293,0.2360511,0.0002255812,0.00007688438,0.0008795566,0.0005574593,0.001302157,0.7400517,0.001314159,0.0007432746,0.0002361439],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944623,0.0001522666,0.0009022098,0.0002904164,0.0000442584,0.004130227,0.000003212202,0.000008638212,0.000006498655],"genre_scores_gemma":[0.9990388,0.0001307951,0.0002321831,0.00001201283,0.0001429934,0.0004320687,8.148313e-7,0.000001646639,0.000008694788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2353246,"threshold_uncertainty_score":0.1659999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04308985982635281,"score_gpt":0.2734981358659913,"score_spread":0.2304082760396384,"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."}}