{"id":"W68706397","doi":"10.1007/s11269-014-0752-6","title":"Leak Size, Detectability and Test Conditions in Pressurized Pipe Systems","year":2014,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Università degli Studi di Perugia; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Leak; Leak detection; Benchmarking; Steady state (chemistry); Transient (computer programming); Hydrogeology; Environmental science; Nuclear engineering; Computer science; Reliability engineering; Mechanics; Engineering; Chemistry; Geotechnical engineering; Physics; Environmental engineering","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":[0.001460577,0.0004732765,0.0006324665,0.0007587684,0.000286001,0.000571739,0.0005850167,0.0006696564,0.0008569697],"category_scores_gemma":[0.009152072,0.0003240971,0.0003319093,0.0004482897,0.0007465022,0.001335779,0.000440676,0.0004027236,0.0001314998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000660625,"about_ca_system_score_gemma":0.0004066308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004506202,"about_ca_topic_score_gemma":0.00312095,"domain_scores_codex":[0.9993149,0.0002342345,0.00005312678,0.0001054847,0.0001842901,0.0001080043],"domain_scores_gemma":[0.983204,0.01380889,0.001469125,0.0003150408,0.001030177,0.0001728274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005935421,0.0006558014,0.06016225,0.000343379,0.0001353706,0.0005524725,0.0004713948,0.7783415,0.1160866,0.0009179901,0.0004160676,0.03598182],"study_design_scores_gemma":[0.00007453731,0.001876367,0.04244977,0.00001360468,0.00007436294,0.0001371778,0.0001579958,0.8901234,0.0643236,0.0006213787,0.00008995333,0.00005785694],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910138,0.00007699965,0.008406983,0.00002843117,0.000002515773,0.00001104244,0.00007159178,0.0001382754,0.000250467],"genre_scores_gemma":[0.9995908,0.00001199104,0.0002635653,0.000001926105,0.0000010486,0.000003623156,0.0000337727,0.00000587334,0.00008749362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004506202,"threshold_uncertainty_score":0.008959949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003506955429397738,"score_gpt":0.1639800355566697,"score_spread":0.160473080127272,"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."}}