{"id":"W2943697518","doi":"10.5772/intechopen.86063","title":"Applications of Genomics in Regulatory Food Safety Testing in Canada","year":2019,"lang":"en","type":"book-chapter","venue":"IntechOpen eBooks","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Food Inspection Agency","keywords":"Food safety; Genomics; Computational biology; Biology; Genetics; Genome; Gene; Food science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001037329,0.0005031799,0.0002076937,0.001420419,0.002399942,0.003378984,0.0009808168,0.001495819,0.01560312],"category_scores_gemma":[0.0009475527,0.0003447217,0.0003128418,0.002106548,0.00225648,0.001233677,0.001164003,0.001030254,0.001910524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04548967,"about_ca_system_score_gemma":0.0497534,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9047865,"about_ca_topic_score_gemma":0.9518366,"domain_scores_codex":[0.9993199,0.00006857405,0.00001731779,0.00007199869,0.0003772739,0.0001450138],"domain_scores_gemma":[0.9995615,0.00009826091,0.00001120968,0.00001595226,0.000221529,0.00009162768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005240757,0.00008052355,0.001444644,0.0003798885,0.000007389111,0.001319472,0.002653292,0.002513596,0.0039295,0.1731723,0.2587769,0.5556701],"study_design_scores_gemma":[0.000002519016,0.0000120203,0.001580163,0.0001217664,0.000002656139,0.0001457523,0.0006659801,0.0004597123,0.0007013197,0.005267344,0.9910277,0.0000132339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01007109,0.05211511,0.00930719,0.0322929,0.002151764,0.0002199034,0.0005490941,0.0004222914,0.8928706],"genre_scores_gemma":[0.09696712,0.07010081,0.0190401,0.006642358,0.0002483621,0.00005222168,0.0003788465,0.0001638727,0.8064062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09521347,"threshold_uncertainty_score":0.3300522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231953467279274,"score_gpt":0.1859716962985321,"score_spread":0.1627763495706047,"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."}}