{"id":"W2014986918","doi":"10.1016/j.mcm.2006.01.005","title":"Application of two ant colony optimisation algorithms to water distribution system optimisation","year":2006,"lang":"en","type":"article","venue":"Mathematical and Computer Modelling","topic":"Water Systems and Optimization","field":"Engineering","cited_by":170,"is_retracted":false,"has_abstract":false,"ca_institutions":"Optech (Canada)","funders":"","keywords":"Ant colony optimization algorithms; Ant colony; Computer science; Formicoidea; Mathematical optimization; Artificial bee colony algorithm; Algorithm; Artificial intelligence; Mathematics; Biology; Ecology; Aculeata","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001669305,0.0001220732,0.0001939415,0.00004584966,0.00005163053,0.0000548495,0.00005965569,0.00005596254,0.000001773918],"category_scores_gemma":[4.431492e-7,0.00009579366,0.00003011585,0.00007108961,0.00001157174,0.0000991297,0.00002595535,0.00004057962,0.00001374489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005656289,"about_ca_system_score_gemma":0.000002008428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004990033,"about_ca_topic_score_gemma":0.000001790439,"domain_scores_codex":[0.9991497,0.00001545298,0.0003801786,0.0001570259,0.0001467036,0.0001509851],"domain_scores_gemma":[0.9997138,0.00001859539,0.00003363792,0.0001226659,0.0000644645,0.00004682042],"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":[0.000002706559,0.00001960862,0.00001000789,0.0002764936,0.000007205888,3.558933e-7,0.0002267861,0.9754357,0.0003860609,0.02254638,0.00005311866,0.001035571],"study_design_scores_gemma":[0.0001823403,0.0000274705,0.00001143022,0.00008536678,0.00001585777,0.000008104983,0.00001228387,0.9920377,0.00530019,0.002116309,0.00008216409,0.0001207825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1147728,0.00001793536,0.884488,0.00001904987,0.00007320656,0.0002946426,0.000007941115,0.000146416,0.0001801027],"genre_scores_gemma":[0.8709238,0.000001460141,0.1287338,0.000003573434,0.0001453369,0.00003953996,0.0001130634,0.00001478697,0.00002466793],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.756151,"threshold_uncertainty_score":0.3906352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008905156247217775,"score_gpt":0.1857924860927853,"score_spread":0.1768873298455675,"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."}}