{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001968897,0.000604917,0.001516586,0.0001962242,0.0003441114,0.00005480747,0.0007526282,0.0005848852,0.00001143206],"category_scores_gemma":[0.003797166,0.0003300474,0.0004647549,0.0007065521,0.0003844316,0.0002693137,0.0002710103,0.000375446,0.000006512056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001719157,"about_ca_system_score_gemma":0.0001420357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001385279,"about_ca_topic_score_gemma":0.002529658,"domain_scores_codex":[0.9948665,0.0004455629,0.002487697,0.0006823349,0.0005439594,0.0009738992],"domain_scores_gemma":[0.9890696,0.007133094,0.00228179,0.0002412579,0.0008663604,0.0004078318],"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":[0.0002158791,0.0003260609,0.005295227,0.0001158859,0.0003072481,0.000009107573,0.002300021,0.000100349,0.9599494,0.00003110843,0.0003607598,0.030989],"study_design_scores_gemma":[0.003714038,0.01110204,0.1701359,0.0003271155,0.0001844426,0.0002086707,0.005500501,0.0004716792,0.6650394,0.001395091,0.1416852,0.0002359834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963319,0.001178743,0.0004118735,0.00006942884,0.0004387485,0.0007632506,0.0003740987,0.00004420303,0.0003877062],"genre_scores_gemma":[0.9939945,0.00063062,0.004348499,0.000152596,0.0006645402,0.00002865765,0.00004854159,0.00001570109,0.0001163703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.29491,"threshold_uncertainty_score":0.9999152,"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."}}