{"id":"W2930332348","doi":"10.14745/ccdr.v45i04a05","title":"How will climate change impact microbial foodborne disease in Canada?","year":2019,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Climate change; Public health; Extreme weather; Wildlife; Environmental health; Global warming; Food chain; Disease; Human health; Geography; Food safety; Environmental resource management; Natural resource economics; Environmental planning; Ecology; Biology; Environmental science; Medicine","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":[0.0007887062,0.0002896785,0.0003517007,0.001174991,0.004577291,0.00346542,0.0007979266,0.0009486037,0.006966338],"category_scores_gemma":[0.003558591,0.0001819756,0.0007854968,0.003040405,0.001015481,0.001063713,0.001224103,0.00190957,0.0004501862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0749438,"about_ca_system_score_gemma":0.1362818,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9982424,"about_ca_topic_score_gemma":0.9988158,"domain_scores_codex":[0.9989811,0.00009020754,0.00003504887,0.00008187776,0.0003095284,0.0005022805],"domain_scores_gemma":[0.9970254,0.0001440401,0.0002541542,0.00003567699,0.001807739,0.0007330065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002855397,0.0001363695,0.7457334,0.0006954831,0.0003075409,0.001004284,0.003790038,0.002159682,0.0007540397,0.01178195,0.1368792,0.09647249],"study_design_scores_gemma":[0.00003756608,0.00005672261,0.8547683,0.0007961512,0.0002598725,0.0002984356,0.01230174,0.002508744,0.000421564,0.003216642,0.1251946,0.0001396945],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4952494,0.04644154,0.001341227,0.3072878,0.002418911,0.0002125404,0.03648096,0.0002296556,0.1103378],"genre_scores_gemma":[0.9541302,0.02126258,0.000881118,0.009809827,0.0002154977,0.00003609735,0.002919683,0.00003773037,0.01070724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0749438,"threshold_uncertainty_score":0.5437579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782962332478527,"score_gpt":0.2020734157221117,"score_spread":0.1842437923973264,"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."}}