{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001979906,0.0001853912,0.0003626619,0.0000331603,0.00003511818,0.000008747379,0.0004575982,0.0001645275,0.0001332656],"category_scores_gemma":[0.00001440374,0.00009484223,0.00005789852,0.00004618869,0.0000537958,0.00002124,0.0001695097,0.0003511866,0.00001481304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000452391,"about_ca_system_score_gemma":0.0004602064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3755965,"about_ca_topic_score_gemma":0.9791839,"domain_scores_codex":[0.9987909,0.00001619278,0.0005251933,0.000308918,0.0001641752,0.0001945991],"domain_scores_gemma":[0.9993071,0.0002110751,0.0002369727,0.0001372185,0.00006293372,0.00004468248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008614818,0.00002040953,0.0008592498,0.00006400632,0.00003324747,0.00001091977,0.00006821188,0.00004948265,0.0136468,0.03995606,0.0001288592,0.9450766],"study_design_scores_gemma":[0.0004091317,0.0004236116,0.01951789,0.00079361,0.00002013187,0.000009560081,0.0003170604,0.00003614087,0.002288183,0.01380253,0.9615569,0.000825271],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.040665,0.0002162133,0.000003011306,0.0001514811,0.00007976629,0.001025526,0.0002965612,0.00001699039,0.9575455],"genre_scores_gemma":[0.954652,0.00001717937,0.0001141233,0.0001481286,0.00006630697,0.00002842181,0.00004908622,0.000004091312,0.04492063],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.961428,"threshold_uncertainty_score":0.6285615,"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."}}