{"id":"W3189335430","doi":"10.1016/j.jconhyd.2021.103863","title":"Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach","year":2021,"lang":"en","type":"article","venue":"Journal of Contaminant Hydrology","topic":"Water resources management and optimization","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Water resources; Agricultural engineering; Agriculture; Environmental economics; Computer science; Water resource management; Energy consumption; Fuzzy logic; Farm water; Environmental science; Water conservation; Economics; 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":[0.001678883,0.001065137,0.002442491,0.001252776,0.0005190151,0.002536653,0.001730145,0.002217615,0.001717397],"category_scores_gemma":[0.002288431,0.001431679,0.001955133,0.001504772,0.0008802547,0.001631187,0.001358345,0.0009021857,0.0001322204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001773823,"about_ca_system_score_gemma":0.001957631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02018355,"about_ca_topic_score_gemma":0.01158763,"domain_scores_codex":[0.999341,0.0002326572,0.00002849941,0.0001519917,0.0001032116,0.0001427107],"domain_scores_gemma":[0.9992821,0.0004061599,0.0001050146,0.00002826712,0.0001299219,0.0000485304],"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":[0.00001076349,0.000009664597,0.0001108979,0.000009605285,0.00003092388,0.00002285151,0.000005561822,0.997748,0.000136858,0.0009407132,0.00004838104,0.0009258559],"study_design_scores_gemma":[0.000003694858,0.00001221569,0.0001001355,0.000002068832,0.00001371307,0.000003277477,0.000008609865,0.9990655,0.00005893867,0.0006766267,0.0000519436,0.00000340055],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2209162,0.0009262815,0.765453,0.0006472021,0.0001020543,0.0001184903,0.000367354,0.0001834549,0.01128604],"genre_scores_gemma":[0.9627317,0.0003738783,0.03370264,0.00005875745,0.00005672375,0.0001147051,0.0001588068,0.00006382765,0.002738974],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02018355,"threshold_uncertainty_score":0.04013216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008099666849221804,"score_gpt":0.1847491060037271,"score_spread":0.1766494391545053,"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."}}