{"id":"W3047580030","doi":"10.1002/eco.2243","title":"Hydrological and productive impacts of recent land‐use and land‐cover changes in the semiarid Chaco: Understanding novel water excess in water scarce farmlands","year":2020,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; International Development Research Centre","keywords":"Evapotranspiration; Groundwater recharge; Environmental science; Hydrology (agriculture); Drainage; Waterlogging (archaeology); Context (archaeology); Deforestation (computer science); Wetland; Groundwater; Cropping; Water resource management; Land cover; Land use; Water use; Agriculture; Geography; Agronomy; Ecology; Geology; Aquifer","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005626708,0.0001639913,0.0002833944,0.0000705565,0.00008383305,0.00001642983,0.000145578,0.0001197466,0.0002011349],"category_scores_gemma":[0.00003948867,0.00008423485,0.00001543046,0.0001119184,0.0004084565,0.0001597274,0.0004536441,0.0002126241,0.0000160629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004217156,"about_ca_system_score_gemma":0.000001500146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002909317,"about_ca_topic_score_gemma":0.001286889,"domain_scores_codex":[0.9986973,0.0001532528,0.0001843722,0.000421453,0.0001083892,0.0004351702],"domain_scores_gemma":[0.9997095,0.00008095309,0.00003749376,0.0001196618,0.000003138559,0.00004925046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000354946,0.00009043256,0.9636055,0.00003070027,0.00003930995,0.00004966715,0.01979078,0.003690538,0.01218122,0.00002126721,0.00008811048,0.00005758595],"study_design_scores_gemma":[0.01018428,0.003054675,0.904703,0.0000437517,0.0001918025,0.0001613452,0.00088378,0.02273241,0.03578784,0.006092431,0.01491118,0.001253498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627795,0.00004165464,0.00003421722,0.03640701,0.00004389623,0.0003009858,0.000003845031,0.00001169459,0.0003771976],"genre_scores_gemma":[0.9968216,0.000388247,0.00001432636,0.002684657,0.00003288393,0.00002424304,0.00001198453,0.00000751817,0.00001455697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05890244,"threshold_uncertainty_score":0.3434997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04987218792795849,"score_gpt":0.2380504082558034,"score_spread":0.1881782203278449,"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."}}