{"id":"W2074447032","doi":"10.1061/41109(373)58","title":"Community-Driven and Reliability-Based Budget Allocation for Water Networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Water Systems and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Aecom (Canada)","funders":"","keywords":"Computer science; Robustness (evolution); Reliability (semiconductor); Criticality; Budget constraint; Analytic hierarchy process; Mains electricity; Reliability engineering; Hierarchy; Service (business); Operations research; 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":[0.004118608,0.0005384065,0.0004759167,0.001327745,0.0005270967,0.001102448,0.001441572,0.000777977,0.002597889],"category_scores_gemma":[0.008343957,0.000519221,0.0004231411,0.00118743,0.0006235113,0.001387852,0.0008324121,0.0006199214,0.0001946046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003569395,"about_ca_system_score_gemma":0.00338062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01671901,"about_ca_topic_score_gemma":0.02128985,"domain_scores_codex":[0.9977679,0.00161369,0.00005069584,0.0001218535,0.0002803975,0.0001655301],"domain_scores_gemma":[0.9976477,0.001433203,0.0002913642,0.00009134921,0.0004235485,0.0001128152],"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":[0.0000243441,0.00002927628,0.0006153391,0.0000337459,0.000009530531,0.00002520646,0.00008791377,0.9621615,0.0002449448,0.02224063,0.0002796331,0.01424798],"study_design_scores_gemma":[0.000007780553,0.00001626273,0.0001801737,0.000008200092,0.000003452428,0.000007586325,0.00005807024,0.9922686,0.0001289385,0.006754465,0.0005612333,0.0000051914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06247778,0.0001281649,0.9299307,0.0003698671,0.00001796481,0.0004105183,0.0001228831,0.0001371871,0.006404983],"genre_scores_gemma":[0.7734222,0.0001823107,0.2225097,0.00003252893,0.00001226956,0.0007022609,0.0001218615,0.0000569742,0.002959949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01671901,"threshold_uncertainty_score":0.03324342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006104811126671634,"score_gpt":0.1926765844984627,"score_spread":0.1865717733717911,"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."}}