{"id":"W2147057091","doi":"10.5942/jawwa.2013.105.0061","title":"Contaminant intrusion in water distribution systems","year":2013,"lang":"en","type":"article","venue":"American Water Works Association","topic":"Water Systems and Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia, Okanagan Campus","funders":"University of British Columbia","keywords":"Intrusion; Transient (computer programming); Dispersion (optics); Environmental science; Water quality; Petroleum engineering; Eulerian path; Lagrangian; Computer science; Engineering; Geology; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002716748,0.0001480122,0.0002476799,0.00008272441,0.00005112768,0.0001853786,0.00007608645,0.0001034857,0.00003702286],"category_scores_gemma":[0.000009805817,0.00009723331,0.00003566292,0.000156814,0.00001328188,0.0004131862,0.00002566721,0.0001367104,0.0003724674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007669691,"about_ca_system_score_gemma":0.00000254283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002404211,"about_ca_topic_score_gemma":0.0001704742,"domain_scores_codex":[0.9987758,0.00008199531,0.0003626574,0.0001588654,0.0001863359,0.0004343891],"domain_scores_gemma":[0.9996585,0.00002025887,0.00006071879,0.0001306098,0.00008089026,0.00004902354],"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":[0.00002155855,0.0001224781,0.2061622,0.0001533218,0.0001825222,0.0000115843,0.007646128,0.7061045,0.0221053,0.0000934731,0.03687182,0.02052517],"study_design_scores_gemma":[0.001663704,0.0001573093,0.1463197,0.000403139,0.00005146214,0.000007315646,0.001826204,0.7903537,0.03509066,0.0001156381,0.02275935,0.001251789],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822474,0.0000437859,0.01551675,0.0002794625,0.000815068,0.0004329486,0.000005142344,0.0002029641,0.0004564992],"genre_scores_gemma":[0.9983838,0.00004175391,0.00003877535,0.00002101935,0.000135828,0.0001344629,0.0004551135,0.00002728339,0.0007619922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08424927,"threshold_uncertainty_score":0.478744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002046476443527861,"score_gpt":0.1553418162635404,"score_spread":0.1532953398200125,"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."}}