{"id":"W3125864847","doi":"","title":"Applying the multiple-barrier approach for microbial risk reduction in the post-harvest sector of wastewater irrigated vegetables","year":2010,"lang":"en","type":"article","venue":"IWMI Books, Reports","topic":"Food Safety and Hygiene","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Risk management; Wastewater; Hygiene; Food safety; Psychological intervention; Risk analysis (engineering); Environmental planning; Hazard analysis and critical control points; Environmental science; Environmental engineering; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001065421,0.000137347,0.0001704039,0.00001347788,0.0003186867,0.0000571916,0.0002143199,0.0001057036,0.00003450175],"category_scores_gemma":[0.0001352087,0.0000399852,0.0001317467,0.0001326257,0.0001515972,0.0001109314,0.00004067615,0.0002573637,0.000001186586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000817065,"about_ca_system_score_gemma":0.0000164739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001831008,"about_ca_topic_score_gemma":0.002796193,"domain_scores_codex":[0.9987734,0.0001077828,0.0004046801,0.0002955525,0.0001679416,0.0002506496],"domain_scores_gemma":[0.9992742,0.0001430832,0.0002909445,0.0001643767,0.00009035371,0.00003702721],"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":[0.00008835939,0.00008309526,0.005590127,0.00001340659,0.00001658964,0.000005747711,0.0004154998,0.00005301533,0.9888427,0.00004778052,0.0001584247,0.004685299],"study_design_scores_gemma":[0.000758692,0.0006640763,0.4176965,0.00005316636,0.0001346624,0.001065985,0.002908284,0.0004542181,0.4747954,0.001341662,0.09946925,0.0006580793],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972984,0.0000692156,0.000003807577,0.0003301613,0.0003458939,0.001353828,0.0000485197,0.00002617111,0.0005239984],"genre_scores_gemma":[0.9985241,0.000004095216,0.0003389038,0.00006866366,0.0003353145,0.0003658977,0.0001094241,0.000002127612,0.000251514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5140472,"threshold_uncertainty_score":0.2767949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647232422235864,"score_gpt":0.2026761806133015,"score_spread":0.1862038563909428,"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."}}