{"id":"W2329432889","doi":"10.2166/ws.2013.077","title":"The biological safety of distribution systems following UV disinfection in rural areas in Beijing, China","year":2013,"lang":"en","type":"article","venue":"Water Science & Technology Water Supply","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Beijing; Water disinfection; Environmental science; Total organic carbon; Water safety; China; Distribution (mathematics); Water treatment; Environmental engineering; Environmental chemistry; Toxicology; Water quality; Chemistry; Biology; Geography; Ecology; Mathematics","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":[0.0004706494,0.0003436915,0.0002337441,0.000731312,0.0006583476,0.0004135904,0.000282553,0.0002570956,0.0005705435],"category_scores_gemma":[0.0006563006,0.0001562485,0.0001468725,0.0006850303,0.0005537117,0.0003060916,0.0004074311,0.0001208037,0.000101165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057982,"about_ca_system_score_gemma":0.0006090956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01616049,"about_ca_topic_score_gemma":0.01935975,"domain_scores_codex":[0.9995494,0.0001207963,0.00002642865,0.00008114437,0.0001599752,0.00006215001],"domain_scores_gemma":[0.9994988,0.00006933731,0.0002195196,0.00003207784,0.0001318472,0.00004837105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005309631,0.000224522,0.7842598,0.0001667218,0.00005342609,0.001106237,0.003956832,0.001039005,0.1792558,0.0001082649,0.0001672095,0.02913124],"study_design_scores_gemma":[0.000015237,0.0007473038,0.9790638,0.000009376793,0.00002786196,0.0002910977,0.001977929,0.0007050667,0.01647347,0.00007600873,0.0006028147,0.00001002579],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995634,0.00003221392,0.00009936211,0.00001313756,6.422076e-7,0.000006906016,0.00001567463,0.000002253519,0.0002665886],"genre_scores_gemma":[0.9993984,0.00004484811,0.0001374014,0.000008392713,0.000001483528,0.000006974338,0.00003220814,0.000001039296,0.0003693533],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01616049,"threshold_uncertainty_score":0.03213286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003677976422444689,"score_gpt":0.1933177385446969,"score_spread":0.1896397621222522,"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."}}