{"id":"W562849150","doi":"10.71781/3942","title":"Detection and quantification of staphylococcus aureus enterotoxin B in food product using isotopic dilution techniques and mass spectrometry","year":2012,"lang":"en","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Enterotoxin; Staphylococcus aureus; Isotope dilution; Mass spectrometry; Chromatography; Chemistry; Dilution; Microbiology; Food science; Escherichia coli; Biology; Bacteria; Biochemistry; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000275996,0.0001555022,0.0001799025,0.00007690515,0.00007043291,0.00001513649,0.00008254021,0.000073405,0.000003278162],"category_scores_gemma":[0.000006440514,0.0001705442,0.00001802083,0.00007823186,0.00005239883,0.00002913381,0.00002815845,0.00009578973,6.391363e-10],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006212899,"about_ca_system_score_gemma":0.0002672919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004849025,"about_ca_topic_score_gemma":0.01137133,"domain_scores_codex":[0.9987979,0.00006248617,0.0003384045,0.0002928082,0.0003713185,0.0001370816],"domain_scores_gemma":[0.9993868,0.00001649583,0.0003332857,0.0001948952,0.000002953047,0.00006553114],"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":[0.0001755182,0.00002171172,0.006781166,0.0003586251,0.00003316211,4.043069e-7,0.00003693135,0.00000150321,0.9880549,0.001421126,0.000008065815,0.003106857],"study_design_scores_gemma":[0.0001363977,0.00007593026,0.07887225,0.00007795454,0.00001775269,0.000002129631,0.000662254,0.00008715592,0.9185135,0.00008417252,0.00132748,0.0001429761],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948435,0.00192246,0.0003619024,0.0000915989,0.0001733318,0.0003972234,0.0001007691,0.00000386062,0.0021054],"genre_scores_gemma":[0.9975379,0.0005435193,0.0007149803,0.00001549785,0.00005961797,0.00002404944,0.0001357334,0.0000175467,0.0009511557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07209108,"threshold_uncertainty_score":0.6954591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006364134457897576,"score_gpt":0.1898668379018282,"score_spread":0.1835027034439306,"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."}}