{"id":"W2911985491","doi":"10.1016/j.apenergy.2019.01.147","title":"Integrated modelling of the impacts of hydropower projects on the water-food-energy nexus in a transboundary Himalayan river basin","year":2019,"lang":"en","type":"article","venue":"Applied Energy","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"John D. and Catherine T. MacArthur Foundation","keywords":"Hydropower; Environmental science; Flood myth; Water resource management; Climate change; Water resources; Natural resource economics; Environmental resource management; Geography; 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":[0.0003698691,0.0006098374,0.0006225366,0.0005122684,0.0006794407,0.001870477,0.0006896254,0.001404539,0.002344506],"category_scores_gemma":[0.0009475026,0.0004020302,0.0009243243,0.0007519937,0.0008853965,0.0007367946,0.0009407658,0.0008288429,0.0001389824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212415,"about_ca_system_score_gemma":0.001970398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08398243,"about_ca_topic_score_gemma":0.04915771,"domain_scores_codex":[0.9998,0.00007847264,0.00001051836,0.00003311649,0.00002367438,0.00005417951],"domain_scores_gemma":[0.9995419,0.0002597209,0.00004772047,0.00002308437,0.00007135191,0.00005628114],"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":[0.0000232478,0.00002294008,0.001498513,0.000007878063,0.00001497479,0.00006245856,0.00001874381,0.9969227,0.0002472611,0.000622139,0.00006525139,0.0004938359],"study_design_scores_gemma":[0.00001216191,0.00002529726,0.001417244,0.000003185171,0.00001143219,0.000007082539,0.00006014408,0.9978068,0.0001306981,0.0003599906,0.0001586527,0.000007329405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777092,0.0001931502,0.008444647,0.0004112796,0.00003455366,0.00004593736,0.0005107516,0.00008160009,0.01256896],"genre_scores_gemma":[0.9964065,0.0001115355,0.001238798,0.00002122378,0.000006678855,0.00003225416,0.0001528981,0.00001003275,0.002020129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08398243,"threshold_uncertainty_score":0.1669872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346037444139981,"score_gpt":0.1787692232979531,"score_spread":0.1653088488565533,"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."}}