{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003641196,0.0006646541,0.0002743673,0.001323979,0.004197155,0.001467378,0.0006583438,0.0005561368,0.002131396],"category_scores_gemma":[0.001007675,0.0003973629,0.000415275,0.001778354,0.0007646158,0.0003272931,0.001226666,0.001360919,0.000271717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01985108,"about_ca_system_score_gemma":0.04660854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908036,"about_ca_topic_score_gemma":0.994589,"domain_scores_codex":[0.9993165,0.00002983998,0.00003343895,0.00006187558,0.0003729119,0.0001855513],"domain_scores_gemma":[0.9981276,0.00003662197,0.0001465533,0.00002441779,0.001168966,0.0004958257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007916419,0.0002826835,0.927803,0.000254458,0.0002352791,0.005176534,0.002726457,0.0004443963,0.003654265,0.0004192747,0.02956418,0.0286478],"study_design_scores_gemma":[0.00005034646,0.0002335023,0.9657727,0.0002922079,0.000124381,0.002345924,0.006874803,0.0008200287,0.001222624,0.0001134521,0.02208062,0.00006948328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508759,0.003785785,0.000709857,0.003239607,0.000398984,0.0005230388,0.009502131,0.0001462741,0.03081835],"genre_scores_gemma":[0.9847032,0.003118513,0.0006761933,0.0016919,0.00007178995,0.00003204628,0.004542525,0.00002763142,0.00513608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01985108,"threshold_uncertainty_score":0.1440303,"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."}}