{"id":"W2340805681","doi":"10.1080/15732479.2016.1144620","title":"Integrated performance assessment model for water distribution networks","year":2016,"lang":"en","type":"article","venue":"Structure and Infrastructure Engineering","topic":"Water Systems and Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Qatar National Research Fund","keywords":"Pipeline transport; Reliability (semiconductor); Process (computing); Report card; Network performance; Critical infrastructure; Reliability engineering; Network information system; Computer science; Engineering; Civil engineering; Network architecture; Computer network; Computer security; Environmental engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004916523,0.0002334428,0.000184349,0.00004917804,0.00006410593,0.0000478857,0.00007823544,0.0001578417,0.00001772588],"category_scores_gemma":[0.000004911239,0.0001305102,0.00003378763,0.00004856702,0.00001503525,0.0002617614,0.00002123936,0.0001230303,2.641726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000895901,"about_ca_system_score_gemma":0.000007065703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.061324e-7,"about_ca_topic_score_gemma":0.00000534308,"domain_scores_codex":[0.9992122,0.000003831599,0.0002102643,0.0001766017,0.00007806029,0.0003190429],"domain_scores_gemma":[0.9997211,0.00001285163,0.00001699039,0.0001339508,0.00004339897,0.00007176464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004959782,5.101513e-7,0.000466527,0.00007955869,0.00002668486,1.973802e-7,0.00006645996,0.9842644,0.00982606,0.0002904971,0.0009771893,0.003996982],"study_design_scores_gemma":[0.000359107,0.00002155167,0.003258596,0.00005686044,0.000014699,0.000009997594,0.000003180137,0.9858752,0.006695542,0.000124359,0.003350517,0.0002303374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2216132,0.00004084826,0.7773141,0.00001695421,0.0005142061,0.0001719626,0.0001060054,0.0001891618,0.00003362449],"genre_scores_gemma":[0.992829,0.00004681207,0.006511699,0.000008927715,0.0002213461,0.00002419237,0.0002313114,0.00004228347,0.00008445187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7712158,"threshold_uncertainty_score":0.5322051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002687355658419619,"score_gpt":0.1642204801259067,"score_spread":0.1615331244674871,"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."}}