{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002114905,0.0002497423,0.0003531091,0.00001362835,0.000201103,0.00007176577,0.0006154632,0.00003454052,0.0003629146],"category_scores_gemma":[0.00007710761,0.0001204991,0.0001264064,0.0003353386,0.00003640928,0.0002742741,0.0003023438,0.0002207852,0.00000287621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005353,"about_ca_system_score_gemma":0.002581297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981595,"about_ca_topic_score_gemma":0.9998614,"domain_scores_codex":[0.9980248,0.000136761,0.0003346474,0.0003788874,0.0004143853,0.0007104944],"domain_scores_gemma":[0.998248,0.0001039526,0.0001771508,0.0005299178,0.00007985826,0.0008610524],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005418126,0.0001721967,0.9785226,0.0000936244,0.00004916791,0.005190019,0.00001826669,0.0001870186,0.001567451,0.000117233,0.005554775,0.007985827],"study_design_scores_gemma":[0.0002234422,0.00004312586,0.9042166,0.00008807764,0.0000212118,0.00001658678,0.0001642021,0.0002159508,0.00002115136,0.00002484508,0.09462642,0.000338341],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832691,0.001790421,3.856812e-8,0.01275609,0.00024538,0.0004615962,0.0009835279,0.00002478909,0.0004690841],"genre_scores_gemma":[0.9975399,0.0002397582,0.000005027042,0.001017198,0.00009305246,0.00004217006,0.0008055917,0.00000362908,0.0002537004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08907164,"threshold_uncertainty_score":0.4913812,"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."}}