{"id":"W2135973695","doi":"10.1061/41069(360)139","title":"Quantification and Measurement of Level of Service of Water Distribution Networks","year":2009,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; American Water Works Association Research Foundation; Water Research Foundation","keywords":"Asset (computer security); Asset management; Reliability (semiconductor); Context (archaeology); Service (business); Computer science; Service level; Environmental economics; Order (exchange); Quality of service; Risk analysis (engineering); IT service continuity; Hierarchy; Reliability engineering; Business; Computer security; Engineering; Finance; Computer network; Marketing","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":[],"consensus_categories":[],"category_scores_codex":[0.000128882,0.00003456668,0.00007983908,0.00001410852,0.00000502445,0.000002179463,0.0000214427,0.00002853935,0.000003826864],"category_scores_gemma":[0.000001509291,0.00002506255,0.000009369798,0.00004545836,0.000003646381,0.00004208426,0.000002929006,0.0000119827,2.408962e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008764011,"about_ca_system_score_gemma":0.000001306755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007328828,"about_ca_topic_score_gemma":0.00006825935,"domain_scores_codex":[0.9996518,0.000006187104,0.0001842716,0.00003665444,0.00007781792,0.00004319616],"domain_scores_gemma":[0.9997599,0.000001718454,0.00002463832,0.00006899465,0.0001356439,0.000009166227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001025331,0.0000305348,0.0005795461,0.0002667653,0.00002258783,3.357982e-8,0.0003043835,0.8350495,0.1603205,0.001162213,0.0005770076,0.001676729],"study_design_scores_gemma":[0.0001560741,0.0000259759,0.02995699,0.00005214434,0.00001152121,3.624824e-7,0.00002355047,0.4352156,0.5344076,0.00003028229,0.00007249813,0.00004741182],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.151867,0.00009087015,0.847508,0.00006173973,0.00005390067,0.00008758798,0.000009052791,0.00001649314,0.0003053404],"genre_scores_gemma":[0.9995921,0.00001018385,0.0003313192,0.000002443884,0.000007409882,7.374659e-7,0.0000371509,0.000002327813,0.00001629475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8477252,"threshold_uncertainty_score":0.1022021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05504790917796214,"score_gpt":0.2046489791541344,"score_spread":0.1496010699761722,"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."}}