{"id":"W2151035094","doi":"10.5194/hess-19-33-2015","title":"On inclusion of water resource management in Earth system models – Part 1: Problem definition and representation of water demand","year":2015,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Canada Excellence Research Chairs, Government of Canada; University of Saskatchewan","keywords":"Water cycle; Environmental science; Earth system science; Environmental resource management; Resource (disambiguation); Water resources; Climate change; Interdependence; Water supply; Water resource management; Computer science; Ecology; Environmental engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001252028,0.0001164837,0.0002535906,0.0001201223,0.0002543733,0.000010954,0.0001165473,0.00006619674,0.000006231644],"category_scores_gemma":[0.000003101286,0.00006864572,0.00001804417,0.0001321079,0.0004918459,0.0002208828,0.0006087001,0.000041332,0.00001042467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001864637,"about_ca_system_score_gemma":0.000002755817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004287073,"about_ca_topic_score_gemma":0.0002375898,"domain_scores_codex":[0.9983861,0.0002625491,0.000354134,0.0003802886,0.0003507844,0.000266109],"domain_scores_gemma":[0.999667,0.00003792494,0.00009226621,0.0001347486,0.00001035737,0.00005766565],"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":[0.001533842,0.0004992635,0.05858262,0.002355576,0.0001908365,0.0001788549,0.0598208,0.5233837,0.02645632,0.3222021,0.0004493399,0.004346689],"study_design_scores_gemma":[0.008989275,0.007382173,0.01948992,0.002673737,0.0002889623,0.0005154468,0.03767239,0.3834385,0.2553566,0.2811591,0.001337436,0.001696553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9209177,0.00008688636,0.0001048381,0.0001500783,0.00005295542,0.0002243589,0.000002956471,0.00001639002,0.07844377],"genre_scores_gemma":[0.9995483,0.000008871647,0.0002803513,0.00002729498,0.000008191973,0.00002469399,0.000003908386,0.000003925534,0.00009447587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2289002,"threshold_uncertainty_score":0.2799291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03489257609550617,"score_gpt":0.217740936980582,"score_spread":0.1828483608850759,"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."}}