{"id":"W2327916466","doi":"10.1017/s0950268816000327","title":"Comparing listeriosis risks in at-risk populations using a user-friendly quantitative microbial risk assessment tool and epidemiological data","year":2016,"lang":"en","type":"article","venue":"Epidemiology and Infection","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo; University of Toronto; Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Epidemiology; Risk assessment; Environmental health; Medicine; Risk analysis (engineering); Computer science; Internal medicine; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.006281464,0.0009917349,0.0005261482,0.002435866,0.000508928,0.00159428,0.001277235,0.0007210459,0.002524397],"category_scores_gemma":[0.02217018,0.0003869171,0.001078316,0.001404523,0.000415897,0.0007752529,0.001276635,0.0004881307,0.0001764084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00414572,"about_ca_system_score_gemma":0.004397561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1705933,"about_ca_topic_score_gemma":0.1474616,"domain_scores_codex":[0.9978174,0.001065789,0.000142052,0.0002867891,0.0005887899,0.00009922469],"domain_scores_gemma":[0.9879192,0.008978674,0.001169815,0.0005378806,0.001206363,0.0001882021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005694531,0.0002979276,0.1721201,0.0003022193,0.0004737012,0.0001850136,0.0005591942,0.7646522,0.0028909,0.006389781,0.00143103,0.05012841],"study_design_scores_gemma":[0.00007773859,0.0003730792,0.03537085,0.0000601871,0.0001166127,0.0001453369,0.0003112401,0.953573,0.002189173,0.005665125,0.00202057,0.00009704941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6560263,0.00022087,0.3228906,0.0005317617,0.00001674294,0.0008403828,0.008356197,0.002493751,0.008623335],"genre_scores_gemma":[0.8956733,0.0001044602,0.1011222,0.00005884576,0.000003643959,0.0003039851,0.00216906,0.00005401618,0.0005104787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1705933,"threshold_uncertainty_score":0.3392006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3479660380620008,"score_gpt":0.4562197122806575,"score_spread":0.1082536742186567,"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."}}