{"id":"W2899052523","doi":"10.5194/dwes-12-1-2019","title":"Analysis of water distribution network under pressure-deficient conditions through emitter setting","year":2019,"lang":"en","type":"article","venue":"Drinking water engineering and science","topic":"Water Systems and Optimization","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Benchmark (surveying); Software; Replicate; Relation (database); Pressure head; Computer science; Pipe network analysis; Mathematical optimization; Simulation; Engineering; Reliability engineering; Mechanical engineering; Mathematics; Mechanics; Data mining; Geology","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":[0.000338467,0.0001279426,0.0002008679,0.000134155,0.000102079,0.00009712032,0.0001286208,0.00004804012,0.00002020686],"category_scores_gemma":[0.000002871019,0.00008811014,0.00004995325,0.00043172,0.00004625887,0.0002919565,0.00006575506,0.00008335691,0.000007798087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003138428,"about_ca_system_score_gemma":0.000003671522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001696305,"about_ca_topic_score_gemma":0.000003900012,"domain_scores_codex":[0.9989294,0.000007796558,0.0002319712,0.0002248956,0.0002109097,0.0003950148],"domain_scores_gemma":[0.9996694,0.00001477182,0.00001775596,0.0002029177,0.00005278683,0.0000423184],"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":[4.89095e-7,0.000003091449,0.005286759,0.0000463614,0.00008051199,4.053505e-7,0.0008807504,0.9675286,0.02562735,0.0005066734,0.00002527427,0.00001374183],"study_design_scores_gemma":[0.00008852009,0.000009539179,0.01029741,0.00005490506,0.000121956,0.000003334799,0.00002711263,0.9485223,0.03941407,0.00004270977,0.001245841,0.0001723486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.847079,0.00005474973,0.1519179,0.00002207218,0.0004437152,0.00009413243,0.000008054791,0.0001258968,0.0002544686],"genre_scores_gemma":[0.999236,0.000004475776,0.0005016347,0.00001060559,0.00003879933,0.000007012695,0.00008861104,0.00001309364,0.00009972863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1521571,"threshold_uncertainty_score":0.3593027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004552320724292356,"score_gpt":0.1869985969868142,"score_spread":0.1824462762625218,"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."}}