{"id":"W2124658235","doi":"10.5194/hess-19-4165-2015","title":"Coupled modeling approach to assess climate change impacts on groundwater recharge and adaptation in arid areas","year":2015,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Lunds Universitet","keywords":"Groundwater recharge; MODFLOW; Environmental science; Hydrology (agriculture); Surface runoff; Groundwater model; Depression-focused recharge; Groundwater; Aquifer; Climate change; Arid; Geology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007278516,0.0008352068,0.0006798889,0.001037477,0.0005583727,0.001017237,0.001200442,0.001319651,0.002289123],"category_scores_gemma":[0.0009901918,0.0004984069,0.001739311,0.001165377,0.0003365727,0.0006980554,0.0009962597,0.0008033101,0.0001302838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018176,"about_ca_system_score_gemma":0.001654567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06156542,"about_ca_topic_score_gemma":0.04230405,"domain_scores_codex":[0.9997093,0.0001282014,0.00001973606,0.0000609339,0.00003306004,0.00004879298],"domain_scores_gemma":[0.9996732,0.0001493248,0.00003671848,0.00002174934,0.00007724271,0.00004175341],"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":[0.00003737277,0.00003938696,0.002969997,0.0000173562,0.0001093589,0.00005623399,0.00002540618,0.9935954,0.0004213059,0.001182343,0.0001796209,0.001366325],"study_design_scores_gemma":[0.0000149866,0.00002513878,0.00119674,0.000002801951,0.00002897921,0.000005726859,0.00002925692,0.9977003,0.0001067134,0.0006192501,0.0002621005,0.000008058655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.885771,0.0005370735,0.09362797,0.0006740353,0.0001356118,0.0002556686,0.00314778,0.0005428654,0.01530809],"genre_scores_gemma":[0.98956,0.0001452859,0.008176215,0.00004720608,0.00001643112,0.0001566695,0.0005884324,0.00003446883,0.001275262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06156542,"threshold_uncertainty_score":0.1224142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1257765019007089,"score_gpt":0.269847317622224,"score_spread":0.1440708157215151,"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."}}