{"id":"W2900510202","doi":"10.1111/jfs.12558","title":"Development of a multiplex real‐time PCR for simultaneous detection of <scp><i>Bacillus cereus</i></scp>, <scp><i>Listeria monocytogenes</i></scp>, and <scp><i>Staphylococcus aureus</i></scp> in food samples","year":2018,"lang":"en","type":"article","venue":"Journal of Food Safety","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"Earmarked Fund for Modern Agro-industry Technology Research System; China Scholarship Council","keywords":"Bacillus cereus; Listeria monocytogenes; Staphylococcus aureus; Cereus; Microbiology; Multiplex; GroEL; Tryptic soy broth; Multiplex polymerase chain reaction; Listeria; Bacteria; Biology; Food microbiology; Food science; Escherichia coli; Polymerase chain reaction; Gene","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":[0.001596821,0.001146242,0.0008679914,0.0009038704,0.0002586076,0.0009244688,0.0004866738,0.0008241432,0.0009394407],"category_scores_gemma":[0.001461793,0.0008563815,0.0007863808,0.0005111412,0.0005634063,0.0006055067,0.0006015695,0.000762048,0.0005641161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003993971,"about_ca_system_score_gemma":0.0006315332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005413414,"about_ca_topic_score_gemma":0.0006756538,"domain_scores_codex":[0.9981342,0.0002979866,0.0001587868,0.0006913543,0.000561115,0.0001565703],"domain_scores_gemma":[0.9992292,0.0002334221,0.0001776056,0.00006195543,0.0002264456,0.00007139438],"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":[0.00004033916,0.0000268799,0.0004201773,0.00004186428,0.000009135488,0.00002106201,0.00003238799,0.000227143,0.9962914,0.00004734583,0.00004885006,0.002793327],"study_design_scores_gemma":[0.00001632674,0.0003489353,0.002082647,0.00001915467,0.00004250156,0.0001994434,0.00005023343,0.01055917,0.9845253,0.00007902405,0.002047639,0.00002964247],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6704675,0.001932239,0.3209057,0.0003615164,0.0003699886,0.0005392422,0.001443554,0.001332919,0.00264739],"genre_scores_gemma":[0.6541916,0.001120115,0.3370295,0.0002722493,0.00007968744,0.0009654517,0.001694286,0.0001053682,0.004541663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001596821,"threshold_uncertainty_score":0.008444905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03915970577611301,"score_gpt":0.250220333692858,"score_spread":0.211060627916745,"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."}}