{"id":"W3212415425","doi":"10.1016/j.fm.2021.103937","title":"Pre-oxidation of spent lettuce wash water by continuous Advanced Oxidation Process to reduce chlorine demand and cross-contamination of pathogens during post-harvest washing","year":2021,"lang":"en","type":"article","venue":"Food Microbiology","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Chemistry; Hydrogen peroxide; Chlorine; Distilled water; Ferric; Contamination; Water treatment; Hydroxyl radical; Catalysis; Portable water purification; Advanced oxidation process; Nuclear chemistry; Radical; Environmental chemistry; Waste management; Organic chemistry; Chromatography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000136085,0.000173252,0.0002593961,0.00005001022,0.00008259941,0.00001760357,0.0001128275,0.00008394331,0.0001268421],"category_scores_gemma":[0.00006439198,0.0001513274,0.00003352522,0.000120289,0.0001227388,0.0003987189,0.0001782668,0.00006135688,0.00001805968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353899,"about_ca_system_score_gemma":0.00001013085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000232463,"about_ca_topic_score_gemma":0.0000938557,"domain_scores_codex":[0.9986854,0.00006615824,0.0004297404,0.0004734263,0.00008514377,0.0002601014],"domain_scores_gemma":[0.9993894,0.00002694578,0.0002082327,0.0002131326,0.0001038313,0.00005851702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001371481,0.0001368091,0.011907,0.000058658,0.00002389793,0.000001947486,0.001146825,0.001032578,0.9841607,0.000006037701,0.000007595977,0.001380783],"study_design_scores_gemma":[0.0009646043,0.0003132629,0.09950244,0.00003190623,0.00001947143,0.00004206094,0.0001332609,0.000004096664,0.8986169,0.00003137642,0.000196585,0.0001440882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978709,0.0000684328,0.001128595,0.0001924931,0.00008664282,0.0004891347,0.0001000375,0.00002070215,0.00004305116],"genre_scores_gemma":[0.996969,0.00001964568,0.001696288,0.00004513548,0.00001331545,0.00004181952,0.0007026528,0.00001734365,0.0004948273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08759544,"threshold_uncertainty_score":0.6170952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004544021631832607,"score_gpt":0.234443123755991,"score_spread":0.2298991021241584,"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."}}