{"id":"W3048129067","doi":"10.3390/w12082235","title":"A Novel Lazy Serpent Algorithm for the Prioritization of Leak Repairs in Water Networks","year":2020,"lang":"en","type":"article","venue":"Water","topic":"Water Systems and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Prioritization; Genetic algorithm; Computation; Scheduling (production processes); Serpent (symbolism); Algorithm; Operations research; Mathematical optimization; Machine learning; Engineering; Mathematics; Management science","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":[0.001108091,0.0009381018,0.001126181,0.0008368344,0.0006098336,0.001052987,0.001301444,0.00128155,0.002830402],"category_scores_gemma":[0.00243136,0.000462752,0.0006676902,0.0006708381,0.000681103,0.001185332,0.0007635581,0.0008523507,0.0005101009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009642517,"about_ca_system_score_gemma":0.002796409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00539972,"about_ca_topic_score_gemma":0.005494895,"domain_scores_codex":[0.999516,0.0001588972,0.00003225847,0.00009356043,0.0001087875,0.00009050961],"domain_scores_gemma":[0.9992175,0.0004184008,0.0001102256,0.00005499531,0.0001332896,0.00006557204],"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":[0.0001271688,0.00008667494,0.0005202947,0.00005572493,0.00002463846,0.00005591855,0.00004156886,0.9359383,0.001921666,0.006699529,0.001187981,0.0533406],"study_design_scores_gemma":[0.00002439241,0.00004133645,0.00005023595,0.000005067906,0.00000572725,0.00001458607,0.000008435502,0.9972509,0.000502905,0.001601819,0.0004906672,0.000004010741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02019115,0.0001355494,0.9767365,0.0001315085,0.00003911152,0.00007903676,0.0000444158,0.000532063,0.002110659],"genre_scores_gemma":[0.3746839,0.0002105963,0.6204497,0.0001622631,0.00004205465,0.0002032708,0.0001906648,0.0001659953,0.003891427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00539972,"threshold_uncertainty_score":0.01073658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179133751997173,"score_gpt":0.1822330863311216,"score_spread":0.1704417488111498,"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."}}