{"id":"W2922594799","doi":"10.1002/clen.201800247","title":"Impacts of Water Quality on the Spatiotemporal Susceptibility of Water Distribution Systems","year":2019,"lang":"en","type":"article","venue":"CLEAN - Soil Air Water","topic":"Water Systems and Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"American University of Sharjah; University of Sharjah","keywords":"Residual; Environmental science; Water quality; Chlorine; Hotspot (geology); Hydrology (agriculture); Environmental engineering; Geology; Chemistry; Computer science; Ecology; Geotechnical 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":[0.0004012602,0.0001892774,0.0001840355,0.0007074377,0.0002737024,0.0006375627,0.0001886963,0.0002507415,0.0009014656],"category_scores_gemma":[0.001893023,0.0001332756,0.0002790853,0.0009046204,0.0003932433,0.0005546654,0.0005054614,0.0001631464,0.00007587878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007584625,"about_ca_system_score_gemma":0.0003054791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01516019,"about_ca_topic_score_gemma":0.01503136,"domain_scores_codex":[0.999655,0.0000808021,0.00003327668,0.00007315779,0.00009493632,0.00006280475],"domain_scores_gemma":[0.9986731,0.0004755042,0.0004320713,0.0001053028,0.000253587,0.00006049158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003039856,0.0001511402,0.748906,0.0001139348,0.0002511796,0.0007952633,0.0004004014,0.1977586,0.0290875,0.001130526,0.0003241494,0.02077726],"study_design_scores_gemma":[0.000007623623,0.0003027781,0.8342741,0.00001033736,0.00007615524,0.0002283756,0.001241593,0.1543381,0.007703894,0.0009668355,0.0008223511,0.00002785506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966502,0.00004111918,0.002065959,0.00003293393,0.000002388849,0.00001397546,0.0002049591,0.00001980003,0.0009687045],"genre_scores_gemma":[0.9995884,0.00001599547,0.0002018642,0.000001981901,6.543979e-7,0.000002634009,0.00006425208,0.000001807379,0.0001225141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01516019,"threshold_uncertainty_score":0.03014392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01347464285425463,"score_gpt":0.2139936789637275,"score_spread":0.2005190361094728,"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."}}