{"id":"W2235568143","doi":"10.1139/cjm-2015-0602","title":"Rapid detection of <i>Cronobacter sakazakii</i> by real-time PCR based on the <i>cgcA</i> gene and TaqMan probe with internal amplification control","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Microbiology","topic":"Enterobacteriaceae and Cronobacter Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Doctoral Program Foundation of Institutions of Higher Education of China; Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Cronobacter sakazakii; Bacillus cereus; Microbiology; TaqMan; Biology; Real-time polymerase chain reaction; Detection limit; Cronobacter; Food microbiology; Bacteria; Chemistry; Infant formula; Food science; Gene; Enterobacter; Escherichia coli; Chromatography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001537037,0.001704042,0.001636634,0.0008864187,0.0002627814,0.0008669301,0.001100819,0.001498555,0.001319028],"category_scores_gemma":[0.001675186,0.0009767091,0.001223724,0.0007337354,0.0008653273,0.000687045,0.0005668635,0.001621887,0.00149983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006042271,"about_ca_system_score_gemma":0.0006065958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004358021,"about_ca_topic_score_gemma":0.0008067333,"domain_scores_codex":[0.9967422,0.0005132846,0.0002477579,0.001224819,0.0008819742,0.0003900283],"domain_scores_gemma":[0.9985512,0.0003910231,0.0004036121,0.0001155639,0.0004256871,0.0001129113],"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":[0.00004414788,0.00002152172,0.0002563579,0.00009670873,0.000005198596,0.00002392572,0.00002065707,0.00005314607,0.9976091,0.00004508865,0.00009608269,0.001728034],"study_design_scores_gemma":[0.00003891759,0.0006449363,0.004281377,0.00005662083,0.00005955781,0.000345677,0.00005962993,0.00341786,0.9831991,0.00008815776,0.007758331,0.0000498879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4032584,0.01058632,0.5672511,0.0007961243,0.00128706,0.002102145,0.004290966,0.005043648,0.005384143],"genre_scores_gemma":[0.4193442,0.005274414,0.5505612,0.001539683,0.0003579537,0.004603771,0.008341875,0.0005342158,0.009442576],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001704042,"threshold_uncertainty_score":0.008128762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008347290436531814,"score_gpt":0.1989700572266559,"score_spread":0.1906227667901241,"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."}}