{"id":"W2965554361","doi":"10.14745/ccdr.v44i10a05","title":"Outbreak of Salmonella Chailey infections linked to precut coconut pieces — United States and Canada, 2017","year":2018,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Fraser Health; BC Centre for Disease Control","funders":"Public Health Agency; Public Health Agency of Canada; Canadian Food Inspection Agency","keywords":"Outbreak; Salmonella; Salmonella Food Poisoning; Medicine; Environmental health; Geography; Biology; Virology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002017944,0.0001449941,0.000238172,0.00001845644,0.0004639834,0.00002823681,0.0003309323,0.00003529337,0.0001467623],"category_scores_gemma":[0.0001858718,0.0000742795,0.00003418966,0.0003338302,0.0001350121,0.00005557727,0.0002417645,0.0001037314,0.0000012277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032462,"about_ca_system_score_gemma":0.0007813484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982267,"about_ca_topic_score_gemma":0.9998741,"domain_scores_codex":[0.998782,0.00009588697,0.0003466838,0.0002289615,0.0002684415,0.0002780165],"domain_scores_gemma":[0.9984888,0.0001762667,0.0001635169,0.0003297247,0.0003120486,0.0005296065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007802339,0.0008183109,0.3848976,0.0002361445,0.0005820119,0.001537774,0.0005238155,0.0009554035,0.008872543,0.0005321659,0.5775243,0.02273973],"study_design_scores_gemma":[0.00008387535,0.0001435887,0.407353,0.00004992485,0.00002870833,0.00002627995,0.000364247,0.0001751945,0.00012727,0.00003266034,0.5914367,0.0001785977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906658,0.0005195828,7.742784e-7,0.005989837,0.0001492445,0.000235961,0.0005584359,0.00002545312,0.001854911],"genre_scores_gemma":[0.9972981,0.0003097221,0.00002372589,0.0008491569,0.00007542276,0.00002144814,0.0006067539,0.000001784141,0.0008139432],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02256114,"threshold_uncertainty_score":0.3568632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648148054329417,"score_gpt":0.224118853203659,"score_spread":0.2076373726603649,"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."}}