{"id":"W1995781463","doi":"10.1061/(asce)0733-9496(2008)134:3(205)","title":"Hydrologic and Economic Implications of Climate Change for Typical River Basins of the Agricultural Midwestern United States","year":2008,"lang":"en","type":"article","venue":"Journal of Water Resources Planning and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Environmental Protection Agency","keywords":"Climate change; Agriculture; Environmental science; Precipitation; Productivity; Drainage basin; Streamflow; Effects of global warming; Irrigation; Hydrology (agriculture); Climate model; Agricultural productivity; Water resources; Water resource management; Geography; Global warming; Ecology; Geology; Meteorology","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":[0.0003020047,0.00009745959,0.0001002562,0.0005802404,0.0004497699,0.0007173578,0.0001691056,0.0002461427,0.001068783],"category_scores_gemma":[0.0008658078,0.000108799,0.0001719225,0.00107719,0.0004412664,0.0004757974,0.0003689322,0.0002108117,0.00004514019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054457,"about_ca_system_score_gemma":0.0005560525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1033673,"about_ca_topic_score_gemma":0.261891,"domain_scores_codex":[0.999898,0.00003517038,0.000005905557,0.00002009181,0.00001548168,0.00002537347],"domain_scores_gemma":[0.9997519,0.00007399783,0.00005338608,0.00001277494,0.0000613937,0.00004657336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001851695,0.00008950095,0.9085181,0.00006135087,0.00009815686,0.0006399099,0.0005715052,0.05615072,0.004659633,0.003853408,0.00220982,0.02296258],"study_design_scores_gemma":[0.00001270891,0.00002769858,0.9762033,0.000016094,0.00002896094,0.00006474314,0.00109471,0.01865809,0.0003622883,0.001713115,0.001802753,0.00001558804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955498,0.0002201338,0.0002748056,0.00048321,0.000004349962,0.000007049086,0.0004506062,0.00001556676,0.002994542],"genre_scores_gemma":[0.9993637,0.0001677168,0.0001452465,0.00002238622,0.000003022851,0.000003747493,0.0001378245,0.000001660582,0.0001547768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1033673,"threshold_uncertainty_score":0.2055312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726012917209076,"score_gpt":0.2105842977041703,"score_spread":0.1933241685320795,"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."}}