{"id":"W4317620928","doi":"10.1016/j.wre.2023.100216","title":"Optimizing agricultural cropping patterns under irrigation water use restrictions due to environmental flow requirements and climate change","year":2023,"lang":"en","type":"article","venue":"Water Resources and Economics","topic":"Water resources management and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Cropping; Environmental science; Soil and Water Assessment Tool; Climate change; Agriculture; Water resource management; Particle swarm optimization; Profit (economics); Environmental flow; Inflow; Hydrology (agriculture); Streamflow; Drainage basin; Economics; Engineering; Ecology; Mathematical optimization; Geography; Mathematics; Climatology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008937195,0.0001752994,0.0001395013,0.0001652447,0.0002310065,0.0003751321,0.00006458694,0.0000578457,0.00002252487],"category_scores_gemma":[5.56304e-7,0.0001270836,0.00002890042,0.00003908827,0.00001700175,0.0005339613,0.0002116945,0.00006198781,0.00007531979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005627943,"about_ca_system_score_gemma":1.741805e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005122917,"about_ca_topic_score_gemma":0.0000411963,"domain_scores_codex":[0.9990847,0.00001332879,0.0002132057,0.0002483356,0.00004900058,0.0003914915],"domain_scores_gemma":[0.9997615,0.000006596773,0.00001738994,0.0001135715,0.000003398179,0.0000975131],"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":[0.00002283194,0.00001432345,0.01186197,0.0001180216,0.0001036009,0.000010368,0.02251678,0.9564964,0.005089578,0.00002437535,0.0001067186,0.003635075],"study_design_scores_gemma":[0.001284776,0.0001192143,0.2260682,0.0001411883,0.0001187732,0.00002502362,0.003901265,0.7341031,0.00777976,0.0001135116,0.02514976,0.001195426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998572,0.00001874586,0.0003745308,0.0002955126,0.0001459447,0.0002715478,0.00003123437,0.000182089,0.0001083969],"genre_scores_gemma":[0.9982802,0.0004740277,0.0003886031,0.0001071643,0.0001582865,0.00004744431,0.0003296517,0.00003818763,0.0001763829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2223932,"threshold_uncertainty_score":0.518232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02692659986601727,"score_gpt":0.1862114065036128,"score_spread":0.1592848066375955,"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."}}