{"id":"W3084362414","doi":"10.5194/egusphere-egu2020-9147","title":"Optimal water quality monitoring network during road construction using Bayes and Entropy theories","year":2020,"lang":"en","type":"article","venue":"","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TOPSIS; Entropy (arrow of time); Multi-objective optimization; Water quality; Mathematical optimization; Computer science; Pareto principle; Operations research; Data mining; Environmental science; Mathematics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002083637,0.0006711006,0.0009275736,0.001841047,0.0005474495,0.001513977,0.0007356138,0.0006408793,0.001214956],"category_scores_gemma":[0.003648905,0.0006422403,0.001012641,0.001054908,0.0009310668,0.001690373,0.0008756772,0.0005305042,0.00009021593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002315382,"about_ca_system_score_gemma":0.002022642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216795,"about_ca_topic_score_gemma":0.008773542,"domain_scores_codex":[0.9991053,0.0003176412,0.00004982054,0.0001850802,0.0002340018,0.0001081753],"domain_scores_gemma":[0.9985501,0.00092746,0.0002188576,0.00002862957,0.0002337077,0.00004117353],"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":[0.00003408394,0.00001775101,0.001020996,0.0000480159,0.00002994854,0.00002758289,0.0000491773,0.9720231,0.0006238143,0.006584574,0.000137466,0.01940361],"study_design_scores_gemma":[0.000003314629,0.00001165638,0.0002417857,0.000006327748,0.000008159794,0.000004313059,0.00001143301,0.9965173,0.0002727585,0.002831447,0.00008700152,0.000004484102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04115417,0.000231956,0.9561927,0.0001104197,0.00001492914,0.00007228314,0.00005532836,0.00006322711,0.002105059],"genre_scores_gemma":[0.8674943,0.0003398,0.1301883,0.00002853885,0.00002453279,0.0001902468,0.0001443198,0.00002741426,0.001562613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01216795,"threshold_uncertainty_score":0.02419424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03194596894157142,"score_gpt":0.2815650336039904,"score_spread":0.249619064662419,"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."}}