{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00235646,0.001636739,0.001369933,0.0018448,0.0008053792,0.0007967277,0.001821882,0.0008329477,0.002335315],"category_scores_gemma":[0.003621413,0.001848029,0.00111865,0.001127021,0.0008368224,0.0007842963,0.0009492364,0.002251065,0.002411677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004612103,"about_ca_system_score_gemma":0.001446205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009166814,"about_ca_topic_score_gemma":0.002365184,"domain_scores_codex":[0.9960324,0.0008459195,0.0007221525,0.0009031832,0.001146998,0.0003493181],"domain_scores_gemma":[0.9980167,0.0008416036,0.0002371572,0.0002800708,0.0004965331,0.0001279608],"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":[0.0001878327,0.0001211878,0.0006888173,0.0002146126,0.0000200029,0.00003864273,0.0001613176,0.0003879918,0.9908565,0.0001832698,0.0001799056,0.00696003],"study_design_scores_gemma":[0.00004391775,0.0006937858,0.002834041,0.00006191093,0.0001171436,0.0002967768,0.00007690763,0.004604121,0.9846671,0.0003222698,0.006227234,0.00005489054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2583111,0.001558631,0.7306898,0.0003124839,0.0002204145,0.002861523,0.003055311,0.001371295,0.001619466],"genre_scores_gemma":[0.136295,0.001640855,0.8368326,0.0004218107,0.00008801483,0.007393752,0.01128926,0.0003699114,0.005668811],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00235646,"threshold_uncertainty_score":0.01246226,"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."}}