{"id":"W111909870","doi":"10.1007/978-1-4614-0189-6_18","title":"Enhanced Monitoring to Protect Distribution System Water Quality","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Water quality; Computer security; Computer science; Risk analysis (engineering); Engineering; Business","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":[0.0002607034,0.0005833288,0.0003392559,0.0003846335,0.0001719132,0.0008460887,0.0007080862,0.0005600023,0.009916651],"category_scores_gemma":[0.0004251883,0.0002288839,0.0002336218,0.0004351375,0.0003534126,0.001441914,0.0005381659,0.000902746,0.002035227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006989781,"about_ca_system_score_gemma":0.0004316914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001306495,"about_ca_topic_score_gemma":0.002900746,"domain_scores_codex":[0.999768,0.00003322954,0.000005080601,0.00003254493,0.000148151,0.000013008],"domain_scores_gemma":[0.9998529,0.00005832295,0.00001043948,0.00002470795,0.00004936943,0.000004269853],"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":[0.00004002468,0.0000932147,0.0003530594,0.0003182112,0.00001919037,0.00007604365,0.00008772116,0.01775204,0.01253506,0.09245373,0.08433677,0.7919349],"study_design_scores_gemma":[0.00001353696,0.00007253948,0.001915105,0.0003407573,0.00003845139,0.0004498702,0.00006685583,0.05556071,0.03004286,0.07643437,0.8350296,0.00003529458],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006303893,0.01482181,0.5753643,0.003119427,0.001342034,0.0000999213,0.000281318,0.001853832,0.3968134],"genre_scores_gemma":[0.1326779,0.02439562,0.1515265,0.001213141,0.0007385472,0.000106449,0.0003960898,0.0004920423,0.6884537],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009916651,"threshold_uncertainty_score":0.03317451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518231544934587,"score_gpt":0.2093486190625879,"score_spread":0.184166303613242,"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."}}