{"id":"W4361215746","doi":"10.1016/j.jenvman.2023.117734","title":"Spatiotemporal optimization of water quality degradation monitoring in water distribution systems supplied by surface sources: A chronological and critical review","year":2023,"lang":"en","type":"review","venue":"Journal of Environmental Management","topic":"Water Systems and Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Water quality; Environmental science; Quality (philosophy); Sampling (signal processing); Surface water; Water supply; Distribution (mathematics); Current (fluid); Risk analysis (engineering); Computer science; Environmental engineering; Engineering; Business; Mathematics; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002400383,0.001592716,0.003023646,0.002371014,0.0002553044,0.001726394,0.001758674,0.001657341,0.001408542],"category_scores_gemma":[0.003101212,0.0006932767,0.00144792,0.004124143,0.000858054,0.002263439,0.0009972217,0.001477977,0.0005139281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092223,"about_ca_system_score_gemma":0.002377054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00276747,"about_ca_topic_score_gemma":0.004106158,"domain_scores_codex":[0.9993285,0.0001124003,0.0001057657,0.000161388,0.0002369247,0.00005496209],"domain_scores_gemma":[0.9972247,0.001592742,0.0004264661,0.00007694087,0.0006127292,0.00006652153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001205552,0.0001352386,0.000644702,0.05749549,0.0004662234,0.0001550608,0.00008956501,0.002941393,0.002971332,0.006299264,0.00877387,0.9199073],"study_design_scores_gemma":[0.00006495829,0.0008476049,0.007015789,0.02306347,0.002251674,0.001623353,0.0003204079,0.002900128,0.005837677,0.006814673,0.9490341,0.0002261626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001773701,0.9991981,0.0002784479,0.0001007456,0.00006215401,0.000003625773,0.00001001031,0.000002613183,0.0001668706],"genre_scores_gemma":[0.001596639,0.9977366,0.0004079814,0.00007377988,0.00009085333,0.000004896565,0.00001489105,0.000001433164,0.00007303683],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003023646,"threshold_uncertainty_score":0.0126946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372737450414608,"score_gpt":0.271127435762432,"score_spread":0.2338536907209712,"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."}}