{"id":"W3183414567","doi":"10.3808/jei.202100459","title":"A Non-Deterministic Integrated Optimization Model with Risk Measure for Identifying Water Resources Management Strategy","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Informatics","topic":"Water resources management and optimization","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; University of Toronto","funders":"","keywords":"Measure (data warehouse); Risk measure; Risk analysis (engineering); Computer science; Operations research; Data mining; Engineering; Business","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":[0.001160337,0.001132166,0.001094674,0.0008697208,0.0006214503,0.001712237,0.001489371,0.001526689,0.002427166],"category_scores_gemma":[0.002074075,0.0007623368,0.001261015,0.000925302,0.0007657587,0.001252055,0.00117895,0.001398686,0.0002363086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579957,"about_ca_system_score_gemma":0.002175957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983416,"about_ca_topic_score_gemma":0.01112336,"domain_scores_codex":[0.999369,0.0002009351,0.00003620931,0.0001645242,0.0001346858,0.00009466997],"domain_scores_gemma":[0.9993287,0.0003857709,0.0001087253,0.00002241038,0.0001215252,0.00003280836],"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":[0.00000585385,0.00000663892,0.0002249567,0.0000120333,0.00001196254,0.00001966066,0.00001321753,0.9947785,0.00008813348,0.003163326,0.00007920346,0.001596477],"study_design_scores_gemma":[0.000002480378,0.000005790329,0.00005473202,0.000002213621,0.000005245584,0.000004049281,0.00000385261,0.9984792,0.0000337952,0.001301253,0.0001047362,0.000002631362],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02975064,0.0003325439,0.9623952,0.0003312348,0.00004360617,0.0000743806,0.0001690716,0.0001436388,0.006759639],"genre_scores_gemma":[0.9248945,0.0006297408,0.06656566,0.00009945784,0.00004443705,0.0004975995,0.0002957001,0.00004930784,0.006923662],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01983416,"threshold_uncertainty_score":0.03943741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119276701009978,"score_gpt":0.1903301743204704,"score_spread":0.1791374073103706,"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."}}