{"id":"W2211788607","doi":"10.1533/9781782420279.2.71","title":"Postharvest washing as a critical control point in fresh produce processing: alternative sanitizers and wash technologies","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Listeria monocytogenes in Food Safety","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs; Center for Produce Safety","keywords":"Postharvest; Human decontamination; Contamination control; Contamination; Waste management; Engineering; Environmental science; Process engineering; Horticulture; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003849691,0.0005664526,0.0006096946,0.0001484753,0.0001071899,0.0001210496,0.0004844478,0.000718345,0.00001124659],"category_scores_gemma":[0.0005179736,0.0005441241,0.0001275914,0.00001345073,0.0007424176,0.000008407088,0.0005781333,0.0005106766,0.00001436025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007140652,"about_ca_system_score_gemma":0.0001712477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002271504,"about_ca_topic_score_gemma":0.00007849668,"domain_scores_codex":[0.9976515,0.00006911169,0.0005369285,0.00105404,0.0002448389,0.0004436351],"domain_scores_gemma":[0.9987499,0.00005390349,0.0002330542,0.0006857953,0.0001795084,0.00009781548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004722231,0.0000321709,0.0001215108,0.0005513478,0.0002240196,0.0001169865,0.0003120633,0.000002664702,0.04703855,0.00915458,0.0001644493,0.9418094],"study_design_scores_gemma":[0.002662239,0.001269452,0.00008656264,0.001777261,0.0002425476,0.0004658172,0.0002617975,0.0000338184,0.07140329,0.02890219,0.8909432,0.001951851],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01101824,0.007198838,0.0001026695,0.0009112168,0.0004002167,0.001352892,0.0001257365,0.0001277533,0.9787624],"genre_scores_gemma":[0.8053589,0.0003182362,0.0007838939,0.001054278,0.0004829893,0.0001607315,0.00007504561,0.000175801,0.1915902],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9398576,"threshold_uncertainty_score":0.999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02553630531330548,"score_gpt":0.2900605573642047,"score_spread":0.2645242520508992,"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."}}