{"id":"W2789438287","doi":"10.3934/mbe.2018045","title":"Probability of <i>Escherichia coli</i> contamination spread in ground beef production","year":2018,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Contamination; Escherichia coli; Beef industry; Environmental science; Food safety; Production (economics); Contaminated food; Salmonella; Outbreak; Food science; Biology; Agricultural science; Microbiology; Ecology; Economics; Bacteria","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002733647,0.0004539036,0.0006839667,0.0008338547,0.0003872424,0.001680227,0.001432302,0.001501985,0.008462815],"category_scores_gemma":[0.01198122,0.000395701,0.0006502495,0.0005961416,0.001476771,0.001670724,0.001074169,0.001240122,0.0009042309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008318563,"about_ca_system_score_gemma":0.0003962659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007801643,"about_ca_topic_score_gemma":0.003400524,"domain_scores_codex":[0.9989266,0.0003601353,0.00005542382,0.0002566964,0.0001692087,0.000231989],"domain_scores_gemma":[0.9863967,0.008192475,0.003445291,0.0006708993,0.0005432518,0.000751325],"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":[0.002255045,0.0006280685,0.4196239,0.0003923257,0.0002620227,0.003822119,0.00139169,0.4369969,0.009139859,0.05582987,0.01123257,0.0584256],"study_design_scores_gemma":[0.0001156463,0.0006784243,0.08461627,0.0001428149,0.0001503956,0.001894101,0.001291846,0.8781545,0.003609758,0.02693841,0.002297546,0.0001101628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9234453,0.0005878034,0.06784301,0.001861226,0.00006118239,0.0001127349,0.0009367501,0.0002251141,0.004926749],"genre_scores_gemma":[0.9935027,0.0003092673,0.002287875,0.00007690954,0.00004143463,0.00003247322,0.0002937198,0.00002208717,0.003433516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008462815,"threshold_uncertainty_score":0.02831095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651393696667055,"score_gpt":0.2278217145755557,"score_spread":0.2013077776088852,"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."}}