{"id":"W2070919380","doi":"10.1108/14777830610700928","title":"A new system for locating leaks in urban water distribution pipes","year":2006,"lang":"en","type":"article","venue":"Management of Environmental Quality An International Journal","topic":"Water Systems and Optimization","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Leak detection; Leak; Leakage (economics); Computer science; Engineering; Risk analysis (engineering); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003382366,0.00009463971,0.000110837,0.0000674031,0.0000364906,0.00006747377,0.000177587,0.00003411476,0.00003459673],"category_scores_gemma":[7.451475e-7,0.0000850098,0.00005521142,0.00002138071,0.00001170217,0.0003162545,0.00003181312,0.00005911158,0.000005461037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003724755,"about_ca_system_score_gemma":0.000001735899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009051513,"about_ca_topic_score_gemma":0.00003098013,"domain_scores_codex":[0.9989575,0.00002984932,0.0004965629,0.0001050233,0.0002714749,0.0001395963],"domain_scores_gemma":[0.9997951,0.000006747526,0.00007796407,0.00007726616,0.000009016022,0.00003391871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001860675,0.0004356274,0.03655612,0.0007014234,0.0004184807,0.00004461297,0.001040333,0.9097934,0.008150025,0.0250975,0.003044999,0.01453143],"study_design_scores_gemma":[0.01246099,0.0003893669,0.6559806,0.001663682,0.0001773496,0.0001434931,0.008119781,0.2082625,0.07219076,0.002976566,0.03596842,0.001666496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5410028,0.00005449308,0.456287,0.00005655599,0.0007229655,0.0002259603,0.00007576157,0.00003859108,0.001535827],"genre_scores_gemma":[0.996711,0.00001346325,0.002243492,0.00000450723,0.0002688803,0.000009872735,0.0003170444,0.00001292409,0.0004187964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7015309,"threshold_uncertainty_score":0.3466599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009695423336738321,"score_gpt":0.2209990491387703,"score_spread":0.211303625802032,"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."}}